Barnam J Saharia | Tezpur University (original) (raw)
Papers by Barnam J Saharia
Bulletin of Electrical Engineering and Informatics, 2023
Design optimization of a DC-DC boost converters for minimizing overall operational losses is the ... more Design optimization of a DC-DC boost converters for minimizing overall operational losses is the problem under study. The optimum design contains selecting the best value of circuit inductance, capacitance, and switching frequency for the continuous conduction mode (CCM) operation. The design constraints selected are the current ripple content, ripple content of voltage, and bandwidth for operation in CCM. Grey wolf optimizer (GWO) algorithm is implemented for the boost DC-DC converter's optimal design. The comparative investigation of algorithms reveals that GWO outperforms other established optimization algorithms like the particle swarm optimization (PSO), moth flame optimization (MFO) algorithm, simulated annealing (SA) and firefly algorithm (FFA) in terms of convergence time, computational effort, and the minimized system losses while finding the most efficient design of the converter. Parametric study on statistical performance indicates that the GWO algorithm outperforms the rest of the optimization algorithms on comparing with previously reported results. The optimized results obtained in the current work provides and improved converter design with reduction in the power loss in the optimized design of the converter by over 15% from previously reported works.
International Journal of Power Electronics and Drive Systems (IJPEDS), 2023
Working performance of a PV module or array is largely reliant on climate (temperature/irradiatio... more Working performance of a PV module or array is largely reliant on climate (temperature/irradiation) and is also non-linear. Maximum power point tracking (MPPT) must be used to guarantee that the PV array generates the greatest electricity under any conditions. Researchers have proposed many approaches to track peak performance. There are benefits and drawbacks to every approach. Some approaches might be difficult to apply, while others provide erroneous results. MPPT boosts photovoltaic (PV) system efficiency and electricity output. Current research focuses on designing, developing, and using fast-tracking algorithms with strong dynamic performance and tracking capabilities. Without a uniform test bench, defending the optimal algorithm and converter combination is difficult. MPPT uses artificial neural networks, fuzzy logic control, cuckoo search, perturb and observe, and particle swarm optimisation (PSO) approaches. This study suggests evaluating these well-known MPPT algorithms on a 120 Wp standalone PV system with a DC-DC boost converter MPPT power interface. Tracking efficiency, inaccuracy, relative power loss, and gain are best using the PSO algorithm. Tracking efficiency improves by about 1% compared to other methods and roughly 4.5-5% for previously reported values.
2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC) , 2023
Photovoltaic (PV) power is one of the major renewable energy sources experiencing rapid expansion... more Photovoltaic (PV) power is one of the major
renewable energy sources experiencing rapid expansion. Its
development can be attributed, in part owing to the exhaustion
of fossil fuels and the pollution in the environment that is
changing the climate, as well as to the development of new
manufacturing technologies that are associated with PV
systems. The limitations of operating PV however still include a
low power output capacity and high associated costs, which has
led to the investigation of effective ways to develop a PV
converter and its controller that can fulfil the greatest power
extraction criterion, thereby accomplishing both objectives of
being cost and energy competent for PV systems. The
application of the DC-DC Power Processing Units (PPUs) design
is what causes this procedure to take place. In general, power
supply units (PPUs) were divided into two categories: isolated
and non-isolated DC-DC converters. Each configuration
includes a bk, boost, and buck-boost converters that use a
variety of different circuit configurations. These various
topologies for power converters are subjected to a
comprehensive analysis and comparison regarding their
efficiencies, levels of reliability, and degrees of complexity. The
buck-boost converter of the non-isolated configuration is the
optimum option for the PPUs architecture when constructing an
efficient system to function effectively while harnessing the PV
peak power under all climatic circumstances
Lecture Notes in Computer Science, 2019
Journal of Renewable and Sustainable Energy, 2018
Hybrid renewable energy systems (HRESs) can alleviate the grid dependence for power in rural and ... more Hybrid renewable energy systems (HRESs) can alleviate the grid dependence for power in rural and distant locations. The intermittent nature of renewable energy sources acting alone does not make the system reliable; however, combining one or more sources (like solar, wind, diesel, biomass, micro-hydel, etc.) with adequate storage options or intelligent control of hybrid systems ensures power availability to the end user. As a result, it is imperative that the technical aspects of such a hybrid system can be analyzed with respect to optimal sizing of sources, proper control design and mechanism for energy management, and adequate backup via the storage option that ascertain reliable power supply to the consumer/end user or at the distributed generation end. This paper presents an overview of the applications of Genetic Algorithms, Fuzzy logic, Particle Swarm optimization, and similar other evolutionary and nature inspired algorithms that have been employed for the optimization, control, and power management strategies for renewable energy studies involving hybrid power generation schemes. Analysis of the algorithms and the potential applications of new improved algorithms for optimization, control, and power management of HRES is discussed and reported.Hybrid renewable energy systems (HRESs) can alleviate the grid dependence for power in rural and distant locations. The intermittent nature of renewable energy sources acting alone does not make the system reliable; however, combining one or more sources (like solar, wind, diesel, biomass, micro-hydel, etc.) with adequate storage options or intelligent control of hybrid systems ensures power availability to the end user. As a result, it is imperative that the technical aspects of such a hybrid system can be analyzed with respect to optimal sizing of sources, proper control design and mechanism for energy management, and adequate backup via the storage option that ascertain reliable power supply to the consumer/end user or at the distributed generation end. This paper presents an overview of the applications of Genetic Algorithms, Fuzzy logic, Particle Swarm optimization, and similar other evolutionary and nature inspired algorithms that have been employed for the optimization, control, and power managemen...
Distributed Generation & Alternative Energy Journal, 2016
2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES), 2016
Electrical energy consumption of a nation is an indicator of the economic and social growth of th... more Electrical energy consumption of a nation is an indicator of the economic and social growth of the country. Utilizing electricity efficiently and reducing its wastage as much as possible is an important criterion considering the depleting natural reserves of fossil fuel traditionally used for its generation. The ever increasing demand of electricity places its judicious and efficient use at a prime importance for its consumers. This paved the way for developing appliance based automation for energy conservation. In an educational institution like college or university that has comparatively large infrastructure, it is quite difficult to regulate appliances manually 24/7 throughout the year. In light of this, and to prevent the superfluous usage and consumption of electricity, this paper presents analysis, design and development of low cost, simple circuitry and low power consumption device to automatically regulate electrical appliances based on motion detection. Proteus 7 software platform has been used for circuit designing as the simulation tool, Dip trace has been used as the PCB designing tool, while MATLAB has been used for programming as well as a simulation tool.
2015 International Conference on Energy, Power and Environment: Towards Sustainable Growth (ICEPE), 2015
ABSTRACT This paper investigates the effect of the variation of duty ratio on the different perfo... more ABSTRACT This paper investigates the effect of the variation of duty ratio on the different performance parameters of a non-isolated dc-dc boost converter. Five important parameters dependent on the duty ratio have been identified namely output voltage, output current, effective impedance at the input, minimum inductance and minimum capacitance for continuous conduction mode (CCM). The effect of variation duty ratio on the performance of these parameters is investigated and reported. The study also takes into consideration the relation of duty ratio with switching period, which in turn affects the duty ratio.
2016 Second International Conference on Computational Intelligence & Communication Technology (CICT), 2016
This research work addresses a comparative examination of the two basic non-isolated DC-DC conver... more This research work addresses a comparative examination of the two basic non-isolated DC-DC converters that could be interfaced effectively for maximum power point tracking (MPPT) in photovoltaic (PV) systems via tracking algorithm of controlling the duty ratio of these converters. Examination of two famous DC-DC convertor topologies i.e. buck, and buck-boost converters has been performed here to scrutinize the behavior of converter behavior relating to changing atmospheric attributes, sequentially the deviation in the duty ratio (due to MPPT), and tracking efficiency. With the variant in the atmospheric conditions, the working value of resistance at the maximum power point (Rmpp) varies. In order to efficiently operate the system at the maximum power point, the MPPT algorithm must make the system work near to the value of Rmpp for the intermittent atmospheric pattern of varying insolation and temperature. The effectiveness of the MPPT algorithm can be scaled by this very obligation. The simulation study verifies that, although buck, and buck-boost converters are implemented as power converters for MPPT control, they are don't equally efficient. The consequence of diverse loads having values different to Rmpp on converter-side output is analyzed for the two important topologies, and it is inferred that the buck-boost converter topology most efficiently tracks the maximum power point (MPP) in case of varying temperature, insolation, and loading effect.
2015 Annual IEEE India Conference (INDICON), 2015
Fast depleting reserves of fossil fuels, increasing cost of fuel for conventional power generatio... more Fast depleting reserves of fossil fuels, increasing cost of fuel for conventional power generation in recent times, along with a regulatory framework to minimize the carbon footprint worldwide, the use of Renewable sources of power generation has become an inevitable reality. The paper makes a feasibility assessment of Renewable Energy System (RES) as a possible source for electrification for an education institution namely Assam Engineering College, located at Guwahati, Assam, India (26.13 °N, 91.66 °E). A combination of one or more renewable sources like photovoltaic (PV) and wind either in standalone or grid connected mode with energy storage capacity based energy systems are investigated in this paper. The objective of the study is to optimize the size and cost of renewable energy system at the selected site to meet the electrical demand of a load of 24kWh/day having a peak load of 6.5 kW. The modeling, optimization and analysis of the hybrid system is carried out using HOMER software produced by National Renewable Energy Laboratory (NREL), Colorado USA. The hybrid systems are evaluated on the basis of Net Present Cost (NPC), Levelised Cost of Energy (COE), Initial Cost, Operating Cost, and Renewable Fraction obtained on the basis of computation results. The results are favorable for the use of renewable energy based sources at the selected site with PV-Wind-Grid connected system emerging as the most economic RES with COE equal to 0.209 $/kWh.
Indian Research Journal of Extension Education
In a study conducted among 100 meat consumers and 30 meat sellers in the meat market of Kohima, N... more In a study conducted among 100 meat consumers and 30 meat sellers in the meat market of Kohima, Nagaland, it was found that there was an orderly preference of meat ranked from first to fourth in the order of pork, beef, chicken and fish respectively. Known for heavy meat eating habits, no significant level of difference existed among the sellers and the customers of meat as far as their consumption pattern were concerned although sellers showed a lower consumption rate in comparison to the customers. For sellers the market activities started as early as 3-00 AM in the morning and for customers it was as early as 6-00 AM. The average sale of meat remaining about 60 kg per day, the peak hours of the meat market were from 7-00 AM to 9-00 AM when 90 per cent of the activities were over for the day. The electricity consumption pattern as a whole in the market was less. However, there were highly significant associations between the electricity consumed and meat sold (0.67**), meat sold a...
This paper makes a photovoltaic (PV) energy potential assessment of a technological institution, ... more This paper makes a photovoltaic (PV) energy potential assessment of a technological institution, namely Assam Engineering College (AEC) in Assam, India (26.13 °N, 91.66 °E) using PV indices. A 5kWp PV system is designed in MATLAB/SIMULINK simulation platform and PV indices are implemented to evaluate the feasibility and future applicability of the location as a possible site for renewable energy generation using PV technology. Results reflect that the possible yield of renewable power from the site lie within the range of average values of minimum of 1.82 kWh/kWp/day and a maximum of 2.651 kWh/kWp/day with an average value of 2.238 kWh/kWp/day for the year, thus indicating that the site can in fact be used successfully to harness solar energy.
Journal of Energy Engineering, 2016
ABSTRACT This paper discusses a comparative investigation of the three basic nonisolated DC-DC co... more ABSTRACT This paper discusses a comparative investigation of the three basic nonisolated DC-DC converters used as interfaces for maximum power point tracking (MPPT) in photovoltaic (PV) generators using the direct duty ratio control tracking algorithm. Analysis of buck, boost, and buck-boost converters is undertaken to study the behavior of converter performance with respect to changing atmospheric conditions, in-turn duty ratio variation (as a result of MPPT), and tracking efficiency. As atmospheric conditions change, the operating value of resistance at the maximum power point (R mpp) changes. To effectively drive the system at the maximum power yield point, the MPPT algorithm has to drive the system operation point close to the value of R mpp for the varying atmospheric profile of change in insolation and temperature. The efficiency of the MPPT algorithm lies in meeting this very requirement. The simulation study shows that, although buck, boost, and buck-boost converters are used as power converters in MPPT applications, not all converters perform with high efficiency. The effect of different resistive loads that have values other than R mpp on converter-side output is considered for the three topologies, and it is observed that the buck-boost converter is the only one that is able to track the maximum power point (MPP) under variations in insolation, temperature, and loading effect with the highest tracking efficiency.
Journal of Renewable and Sustainable Energy, 2014
ABSTRACT This paper makes a comparative investigation of the three basic non-isolated dc-dc conve... more ABSTRACT This paper makes a comparative investigation of the three basic non-isolated dc-dc converters used as interface for maximum power point tracking (MPPT) application in photovoltaic generators using the direct duty ratio control tracking algorithm. Analysis of the buck, boost, and buck-boost converters has been undertaken to study the behavior of the converter's performance with respect to the changing atmospheric conditions and in-turn duty ratio variation (as a result of MPPT) and the tracking efficiency of each converter. Effect of different resistive loads on the output of the converter side has also been considered for the three topologies and it has been observed that the buck-boost converter is the only converter which is able to track the maximum power point under variation of insolation, temperature, and loading effect, with the highest tracking efficiency. (C) 2014 AIP Publishing LLC.
AIP Publishing., 2018
Hybrid renewable energy systems (HRESs) can alleviate the grid dependence for power in rural and ... more Hybrid renewable energy systems (HRESs) can alleviate the grid dependence for power in rural and distant locations. The intermittent nature of renewable energy sources acting alone does not make the system reliable; however, combining one or more sources (like solar, wind, diesel, biomass, micro-hydel, etc.) with adequate storage options or intelligent control of hybrid systems ensures power availability to the end user. As a result, it is imperative that the technical aspects of such a hybrid system can be analyzed with respect to optimal sizing of sources, proper control design and mechanism for energy management, and adequate backup via the storage option that ascertain reliable power supply to the consumer/end user or at the distributed generation end. This paper presents an overview of the applications of Genetic Algorithms, Fuzzy logic, Particle Swarm optimization, and similar other evolutionary and nature inspired algorithms that have been employed for the optimization, control, and power management strategies for renewable energy studies involving hybrid power generation schemes. Analysis of the algorithms and the potential applications of new improved algorithms for optimization, control, and power management of HRES is discussed and reported.
Electrical energy consumption of a nation is an indicator of the economic and social growth of th... more Electrical energy consumption of a nation is an indicator of the economic and social growth of the country. Utilizing electricity efficiently and reducing its wastage as much as possible is an important criterion considering the depleting natural reserves of fossil fuel traditionally used for its generation. The ever increasing demand of electricity places its judicious and efficient use at a prime importance for its consumers. This paved the way for developing appliance based automation for energy conservation. In an educational institution Iike college or university that has comparatively large infrastructure, it is quite difficult to regulate appliances manually 24/7 throughout the year. In light of this, and to prevent the superfluous usage and consumption of electricity, this paper presents analysis, design and development of low cost, simple circuitry and low power consumption device to automatically regulate electrical appliances based on motion detection. Proteus 7 software platform has been used for circuit designing as the simulation tool, Dip trace has been used as the PCB designing tool, while MATLAB has been used for programming as weil as a simulation tool.
This article examines the viability of standalone PV/Wind Hybrid system for remote household in n... more This article examines the viability of standalone PV/Wind Hybrid system for remote household in north eastern region (NER) of India. Sizing , optimization, and the economical analysis of the Hybrid system is done through HOMER software. Sensitivity analysis is carried out with solar radiation data, wind speed data, cost of PV and Wind system for a 1kW PV/Wind Hybrid system. Annual peak, scaled annual average, and the average load of 697 W, 3.85 kWh/day, and 0.175 kW respectively are assumed for a remote household for analysis purpose. This article presents the optimal sizing, cost of electricity (COE), battery profile, and converter profile of PV/Wind hybrid system for different NER states. The outcome of this study shows that COE for the NER states lies in the range of 0.279-0.518 $/kWh, making hybrid PV/Wind system the most successful option for mitigation of power demand in the rural areas of the region concerned.
This paper makes a comparative investigation resistive loading on buck-boost and its effect for u... more This paper makes a comparative investigation resistive loading on buck-boost and its effect for use as interface for maximum power point tracking (MPPT) application in photovoltaic (PV) generators using the direct duty ratio control tracking algorithm. Analysis of the buck – boost converter has been undertaken to study the behaviour of the converter's performance with respect to the changing atmospheric conditions and in-turn duty ratio variation (as a result of MPPT) and the tracking efficiency of each converter. Effect of different resistive loads on the output of the converter side has also been considered for the same converter topology and it has been observed that the buck-boost converter is able to track the maximum power point (MPP) under variation of insolation, temperature and loading effect, with good tracking efficiency. I. INTRODUCTION The photovoltaic (PV) generation system is one of the renewable energy sources that have attracted the attention of researchers in t...
This paper makes a comparative investigation of the three basic non-isolated dc-dc converters use... more This paper makes a comparative investigation of the three basic non-isolated dc-dc converters used as interface for maximum power point tracking (MPPT) application in photovoltaic (PV). A constraint based analysis of the buck, boost and buck – boost converters is discussed in brief to study the behavior of the converter's performance with respect to the changing duty ratio variation (as a result of MPPT) in order to track effectively the moment to moment change in the PV module operating point. For the three basic converter topologies it is observed that the buck-boost converter is the only converter which is able to work with wide range of variation in the region of operation of the input resistance of the converter to successfully track the maximum power point (MPP) under varying conditions of insolation, temperature and loading effect.
Bulletin of Electrical Engineering and Informatics, 2023
Design optimization of a DC-DC boost converters for minimizing overall operational losses is the ... more Design optimization of a DC-DC boost converters for minimizing overall operational losses is the problem under study. The optimum design contains selecting the best value of circuit inductance, capacitance, and switching frequency for the continuous conduction mode (CCM) operation. The design constraints selected are the current ripple content, ripple content of voltage, and bandwidth for operation in CCM. Grey wolf optimizer (GWO) algorithm is implemented for the boost DC-DC converter's optimal design. The comparative investigation of algorithms reveals that GWO outperforms other established optimization algorithms like the particle swarm optimization (PSO), moth flame optimization (MFO) algorithm, simulated annealing (SA) and firefly algorithm (FFA) in terms of convergence time, computational effort, and the minimized system losses while finding the most efficient design of the converter. Parametric study on statistical performance indicates that the GWO algorithm outperforms the rest of the optimization algorithms on comparing with previously reported results. The optimized results obtained in the current work provides and improved converter design with reduction in the power loss in the optimized design of the converter by over 15% from previously reported works.
International Journal of Power Electronics and Drive Systems (IJPEDS), 2023
Working performance of a PV module or array is largely reliant on climate (temperature/irradiatio... more Working performance of a PV module or array is largely reliant on climate (temperature/irradiation) and is also non-linear. Maximum power point tracking (MPPT) must be used to guarantee that the PV array generates the greatest electricity under any conditions. Researchers have proposed many approaches to track peak performance. There are benefits and drawbacks to every approach. Some approaches might be difficult to apply, while others provide erroneous results. MPPT boosts photovoltaic (PV) system efficiency and electricity output. Current research focuses on designing, developing, and using fast-tracking algorithms with strong dynamic performance and tracking capabilities. Without a uniform test bench, defending the optimal algorithm and converter combination is difficult. MPPT uses artificial neural networks, fuzzy logic control, cuckoo search, perturb and observe, and particle swarm optimisation (PSO) approaches. This study suggests evaluating these well-known MPPT algorithms on a 120 Wp standalone PV system with a DC-DC boost converter MPPT power interface. Tracking efficiency, inaccuracy, relative power loss, and gain are best using the PSO algorithm. Tracking efficiency improves by about 1% compared to other methods and roughly 4.5-5% for previously reported values.
2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC) , 2023
Photovoltaic (PV) power is one of the major renewable energy sources experiencing rapid expansion... more Photovoltaic (PV) power is one of the major
renewable energy sources experiencing rapid expansion. Its
development can be attributed, in part owing to the exhaustion
of fossil fuels and the pollution in the environment that is
changing the climate, as well as to the development of new
manufacturing technologies that are associated with PV
systems. The limitations of operating PV however still include a
low power output capacity and high associated costs, which has
led to the investigation of effective ways to develop a PV
converter and its controller that can fulfil the greatest power
extraction criterion, thereby accomplishing both objectives of
being cost and energy competent for PV systems. The
application of the DC-DC Power Processing Units (PPUs) design
is what causes this procedure to take place. In general, power
supply units (PPUs) were divided into two categories: isolated
and non-isolated DC-DC converters. Each configuration
includes a bk, boost, and buck-boost converters that use a
variety of different circuit configurations. These various
topologies for power converters are subjected to a
comprehensive analysis and comparison regarding their
efficiencies, levels of reliability, and degrees of complexity. The
buck-boost converter of the non-isolated configuration is the
optimum option for the PPUs architecture when constructing an
efficient system to function effectively while harnessing the PV
peak power under all climatic circumstances
Lecture Notes in Computer Science, 2019
Journal of Renewable and Sustainable Energy, 2018
Hybrid renewable energy systems (HRESs) can alleviate the grid dependence for power in rural and ... more Hybrid renewable energy systems (HRESs) can alleviate the grid dependence for power in rural and distant locations. The intermittent nature of renewable energy sources acting alone does not make the system reliable; however, combining one or more sources (like solar, wind, diesel, biomass, micro-hydel, etc.) with adequate storage options or intelligent control of hybrid systems ensures power availability to the end user. As a result, it is imperative that the technical aspects of such a hybrid system can be analyzed with respect to optimal sizing of sources, proper control design and mechanism for energy management, and adequate backup via the storage option that ascertain reliable power supply to the consumer/end user or at the distributed generation end. This paper presents an overview of the applications of Genetic Algorithms, Fuzzy logic, Particle Swarm optimization, and similar other evolutionary and nature inspired algorithms that have been employed for the optimization, control, and power management strategies for renewable energy studies involving hybrid power generation schemes. Analysis of the algorithms and the potential applications of new improved algorithms for optimization, control, and power management of HRES is discussed and reported.Hybrid renewable energy systems (HRESs) can alleviate the grid dependence for power in rural and distant locations. The intermittent nature of renewable energy sources acting alone does not make the system reliable; however, combining one or more sources (like solar, wind, diesel, biomass, micro-hydel, etc.) with adequate storage options or intelligent control of hybrid systems ensures power availability to the end user. As a result, it is imperative that the technical aspects of such a hybrid system can be analyzed with respect to optimal sizing of sources, proper control design and mechanism for energy management, and adequate backup via the storage option that ascertain reliable power supply to the consumer/end user or at the distributed generation end. This paper presents an overview of the applications of Genetic Algorithms, Fuzzy logic, Particle Swarm optimization, and similar other evolutionary and nature inspired algorithms that have been employed for the optimization, control, and power managemen...
Distributed Generation & Alternative Energy Journal, 2016
2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES), 2016
Electrical energy consumption of a nation is an indicator of the economic and social growth of th... more Electrical energy consumption of a nation is an indicator of the economic and social growth of the country. Utilizing electricity efficiently and reducing its wastage as much as possible is an important criterion considering the depleting natural reserves of fossil fuel traditionally used for its generation. The ever increasing demand of electricity places its judicious and efficient use at a prime importance for its consumers. This paved the way for developing appliance based automation for energy conservation. In an educational institution like college or university that has comparatively large infrastructure, it is quite difficult to regulate appliances manually 24/7 throughout the year. In light of this, and to prevent the superfluous usage and consumption of electricity, this paper presents analysis, design and development of low cost, simple circuitry and low power consumption device to automatically regulate electrical appliances based on motion detection. Proteus 7 software platform has been used for circuit designing as the simulation tool, Dip trace has been used as the PCB designing tool, while MATLAB has been used for programming as well as a simulation tool.
2015 International Conference on Energy, Power and Environment: Towards Sustainable Growth (ICEPE), 2015
ABSTRACT This paper investigates the effect of the variation of duty ratio on the different perfo... more ABSTRACT This paper investigates the effect of the variation of duty ratio on the different performance parameters of a non-isolated dc-dc boost converter. Five important parameters dependent on the duty ratio have been identified namely output voltage, output current, effective impedance at the input, minimum inductance and minimum capacitance for continuous conduction mode (CCM). The effect of variation duty ratio on the performance of these parameters is investigated and reported. The study also takes into consideration the relation of duty ratio with switching period, which in turn affects the duty ratio.
2016 Second International Conference on Computational Intelligence & Communication Technology (CICT), 2016
This research work addresses a comparative examination of the two basic non-isolated DC-DC conver... more This research work addresses a comparative examination of the two basic non-isolated DC-DC converters that could be interfaced effectively for maximum power point tracking (MPPT) in photovoltaic (PV) systems via tracking algorithm of controlling the duty ratio of these converters. Examination of two famous DC-DC convertor topologies i.e. buck, and buck-boost converters has been performed here to scrutinize the behavior of converter behavior relating to changing atmospheric attributes, sequentially the deviation in the duty ratio (due to MPPT), and tracking efficiency. With the variant in the atmospheric conditions, the working value of resistance at the maximum power point (Rmpp) varies. In order to efficiently operate the system at the maximum power point, the MPPT algorithm must make the system work near to the value of Rmpp for the intermittent atmospheric pattern of varying insolation and temperature. The effectiveness of the MPPT algorithm can be scaled by this very obligation. The simulation study verifies that, although buck, and buck-boost converters are implemented as power converters for MPPT control, they are don't equally efficient. The consequence of diverse loads having values different to Rmpp on converter-side output is analyzed for the two important topologies, and it is inferred that the buck-boost converter topology most efficiently tracks the maximum power point (MPP) in case of varying temperature, insolation, and loading effect.
2015 Annual IEEE India Conference (INDICON), 2015
Fast depleting reserves of fossil fuels, increasing cost of fuel for conventional power generatio... more Fast depleting reserves of fossil fuels, increasing cost of fuel for conventional power generation in recent times, along with a regulatory framework to minimize the carbon footprint worldwide, the use of Renewable sources of power generation has become an inevitable reality. The paper makes a feasibility assessment of Renewable Energy System (RES) as a possible source for electrification for an education institution namely Assam Engineering College, located at Guwahati, Assam, India (26.13 °N, 91.66 °E). A combination of one or more renewable sources like photovoltaic (PV) and wind either in standalone or grid connected mode with energy storage capacity based energy systems are investigated in this paper. The objective of the study is to optimize the size and cost of renewable energy system at the selected site to meet the electrical demand of a load of 24kWh/day having a peak load of 6.5 kW. The modeling, optimization and analysis of the hybrid system is carried out using HOMER software produced by National Renewable Energy Laboratory (NREL), Colorado USA. The hybrid systems are evaluated on the basis of Net Present Cost (NPC), Levelised Cost of Energy (COE), Initial Cost, Operating Cost, and Renewable Fraction obtained on the basis of computation results. The results are favorable for the use of renewable energy based sources at the selected site with PV-Wind-Grid connected system emerging as the most economic RES with COE equal to 0.209 $/kWh.
Indian Research Journal of Extension Education
In a study conducted among 100 meat consumers and 30 meat sellers in the meat market of Kohima, N... more In a study conducted among 100 meat consumers and 30 meat sellers in the meat market of Kohima, Nagaland, it was found that there was an orderly preference of meat ranked from first to fourth in the order of pork, beef, chicken and fish respectively. Known for heavy meat eating habits, no significant level of difference existed among the sellers and the customers of meat as far as their consumption pattern were concerned although sellers showed a lower consumption rate in comparison to the customers. For sellers the market activities started as early as 3-00 AM in the morning and for customers it was as early as 6-00 AM. The average sale of meat remaining about 60 kg per day, the peak hours of the meat market were from 7-00 AM to 9-00 AM when 90 per cent of the activities were over for the day. The electricity consumption pattern as a whole in the market was less. However, there were highly significant associations between the electricity consumed and meat sold (0.67**), meat sold a...
This paper makes a photovoltaic (PV) energy potential assessment of a technological institution, ... more This paper makes a photovoltaic (PV) energy potential assessment of a technological institution, namely Assam Engineering College (AEC) in Assam, India (26.13 °N, 91.66 °E) using PV indices. A 5kWp PV system is designed in MATLAB/SIMULINK simulation platform and PV indices are implemented to evaluate the feasibility and future applicability of the location as a possible site for renewable energy generation using PV technology. Results reflect that the possible yield of renewable power from the site lie within the range of average values of minimum of 1.82 kWh/kWp/day and a maximum of 2.651 kWh/kWp/day with an average value of 2.238 kWh/kWp/day for the year, thus indicating that the site can in fact be used successfully to harness solar energy.
Journal of Energy Engineering, 2016
ABSTRACT This paper discusses a comparative investigation of the three basic nonisolated DC-DC co... more ABSTRACT This paper discusses a comparative investigation of the three basic nonisolated DC-DC converters used as interfaces for maximum power point tracking (MPPT) in photovoltaic (PV) generators using the direct duty ratio control tracking algorithm. Analysis of buck, boost, and buck-boost converters is undertaken to study the behavior of converter performance with respect to changing atmospheric conditions, in-turn duty ratio variation (as a result of MPPT), and tracking efficiency. As atmospheric conditions change, the operating value of resistance at the maximum power point (R mpp) changes. To effectively drive the system at the maximum power yield point, the MPPT algorithm has to drive the system operation point close to the value of R mpp for the varying atmospheric profile of change in insolation and temperature. The efficiency of the MPPT algorithm lies in meeting this very requirement. The simulation study shows that, although buck, boost, and buck-boost converters are used as power converters in MPPT applications, not all converters perform with high efficiency. The effect of different resistive loads that have values other than R mpp on converter-side output is considered for the three topologies, and it is observed that the buck-boost converter is the only one that is able to track the maximum power point (MPP) under variations in insolation, temperature, and loading effect with the highest tracking efficiency.
Journal of Renewable and Sustainable Energy, 2014
ABSTRACT This paper makes a comparative investigation of the three basic non-isolated dc-dc conve... more ABSTRACT This paper makes a comparative investigation of the three basic non-isolated dc-dc converters used as interface for maximum power point tracking (MPPT) application in photovoltaic generators using the direct duty ratio control tracking algorithm. Analysis of the buck, boost, and buck-boost converters has been undertaken to study the behavior of the converter's performance with respect to the changing atmospheric conditions and in-turn duty ratio variation (as a result of MPPT) and the tracking efficiency of each converter. Effect of different resistive loads on the output of the converter side has also been considered for the three topologies and it has been observed that the buck-boost converter is the only converter which is able to track the maximum power point under variation of insolation, temperature, and loading effect, with the highest tracking efficiency. (C) 2014 AIP Publishing LLC.
AIP Publishing., 2018
Hybrid renewable energy systems (HRESs) can alleviate the grid dependence for power in rural and ... more Hybrid renewable energy systems (HRESs) can alleviate the grid dependence for power in rural and distant locations. The intermittent nature of renewable energy sources acting alone does not make the system reliable; however, combining one or more sources (like solar, wind, diesel, biomass, micro-hydel, etc.) with adequate storage options or intelligent control of hybrid systems ensures power availability to the end user. As a result, it is imperative that the technical aspects of such a hybrid system can be analyzed with respect to optimal sizing of sources, proper control design and mechanism for energy management, and adequate backup via the storage option that ascertain reliable power supply to the consumer/end user or at the distributed generation end. This paper presents an overview of the applications of Genetic Algorithms, Fuzzy logic, Particle Swarm optimization, and similar other evolutionary and nature inspired algorithms that have been employed for the optimization, control, and power management strategies for renewable energy studies involving hybrid power generation schemes. Analysis of the algorithms and the potential applications of new improved algorithms for optimization, control, and power management of HRES is discussed and reported.
Electrical energy consumption of a nation is an indicator of the economic and social growth of th... more Electrical energy consumption of a nation is an indicator of the economic and social growth of the country. Utilizing electricity efficiently and reducing its wastage as much as possible is an important criterion considering the depleting natural reserves of fossil fuel traditionally used for its generation. The ever increasing demand of electricity places its judicious and efficient use at a prime importance for its consumers. This paved the way for developing appliance based automation for energy conservation. In an educational institution Iike college or university that has comparatively large infrastructure, it is quite difficult to regulate appliances manually 24/7 throughout the year. In light of this, and to prevent the superfluous usage and consumption of electricity, this paper presents analysis, design and development of low cost, simple circuitry and low power consumption device to automatically regulate electrical appliances based on motion detection. Proteus 7 software platform has been used for circuit designing as the simulation tool, Dip trace has been used as the PCB designing tool, while MATLAB has been used for programming as weil as a simulation tool.
This article examines the viability of standalone PV/Wind Hybrid system for remote household in n... more This article examines the viability of standalone PV/Wind Hybrid system for remote household in north eastern region (NER) of India. Sizing , optimization, and the economical analysis of the Hybrid system is done through HOMER software. Sensitivity analysis is carried out with solar radiation data, wind speed data, cost of PV and Wind system for a 1kW PV/Wind Hybrid system. Annual peak, scaled annual average, and the average load of 697 W, 3.85 kWh/day, and 0.175 kW respectively are assumed for a remote household for analysis purpose. This article presents the optimal sizing, cost of electricity (COE), battery profile, and converter profile of PV/Wind hybrid system for different NER states. The outcome of this study shows that COE for the NER states lies in the range of 0.279-0.518 $/kWh, making hybrid PV/Wind system the most successful option for mitigation of power demand in the rural areas of the region concerned.
This paper makes a comparative investigation resistive loading on buck-boost and its effect for u... more This paper makes a comparative investigation resistive loading on buck-boost and its effect for use as interface for maximum power point tracking (MPPT) application in photovoltaic (PV) generators using the direct duty ratio control tracking algorithm. Analysis of the buck – boost converter has been undertaken to study the behaviour of the converter's performance with respect to the changing atmospheric conditions and in-turn duty ratio variation (as a result of MPPT) and the tracking efficiency of each converter. Effect of different resistive loads on the output of the converter side has also been considered for the same converter topology and it has been observed that the buck-boost converter is able to track the maximum power point (MPP) under variation of insolation, temperature and loading effect, with good tracking efficiency. I. INTRODUCTION The photovoltaic (PV) generation system is one of the renewable energy sources that have attracted the attention of researchers in t...
This paper makes a comparative investigation of the three basic non-isolated dc-dc converters use... more This paper makes a comparative investigation of the three basic non-isolated dc-dc converters used as interface for maximum power point tracking (MPPT) application in photovoltaic (PV). A constraint based analysis of the buck, boost and buck – boost converters is discussed in brief to study the behavior of the converter's performance with respect to the changing duty ratio variation (as a result of MPPT) in order to track effectively the moment to moment change in the PV module operating point. For the three basic converter topologies it is observed that the buck-boost converter is the only converter which is able to work with wide range of variation in the region of operation of the input resistance of the converter to successfully track the maximum power point (MPP) under varying conditions of insolation, temperature and loading effect.