Hari Om Bansal - Academia.edu (original) (raw)

Papers by Hari Om Bansal

Lecture notes in networks and systems, 2023

DOAJ (DOAJ: Directory of Open Access Journals), Jun 1, 2016

Journal of Renewable and Sustainable Energy, 2016

Energy management strategies significantly influence the fuel efficiency of hybrid electric vehic... more Energy management strategies significantly influence the fuel efficiency of hybrid electric vehicles. They play a crucial role in splitting the power between two sources, namely, engine and the battery. Power split between these two intelligently will enhance the fuel economy and regulates the power flow. Power split between engine and motor depends on state of charge (SOC) of battery, power required at the wheels, and engine's operating range. Various parameters of power train are considered to control the toggling between engine and battery. To achieve parameter optimization, genetic algorithm is practised to realize the optimal performance. A modified SOC estimation algorithm is employed with different battery models to analyze the vehicle performance. The battery models with internal resistance only and combinations of 1RC and 2RC are used. Parameter optimization over different battery models with modified SOC estimation algorithm is performed in different situations and a comparative study is elaborated. V

Environmental Science and Pollution Research

2020 IEEE First International Conference on Smart Technologies for Power, Energy and Control (STPEC)

Mitigation of power oscillations is a key challenge while dealing with power system performance. ... more Mitigation of power oscillations is a key challenge while dealing with power system performance. The stability of the power system is more affected and observable when it is subjected to different faults. In this paper power oscillation damping (POD) controller is used as a supplementary controller to damp-out the oscillation in the power system. Which is designed using a Static Synchronous Series Compensator (SSSC) as a FACTS (Flexible AC transmission system) controller. MATLAB/Simulink software is used to investigate the time domain behavior of SSSC under various conditions. The investigations have validated that the proposed controller effectively improved the performance of power system

Energy Science & Engineering

This paper proposes an improved deep learning‐based maximum power point tracking (MPPT) in solar ... more This paper proposes an improved deep learning‐based maximum power point tracking (MPPT) in solar photovoltaic cells considering various time series‐based environmental inputs. Generally, artificial neural network‐based MPPT algorithms use basic neural network architectures and inputs which do not represent the ambient conditions in a comprehensive manner. In this article, the ambient conditions of a location are represented through a comprehensive set of environmental features. Furthermore, the inclusion of time‐based features in the input data is considered to model cyclic patterns temporally within the atmospheric conditions leading to robust modeling of the MPPT algorithm. A transformer‐based deep learning architecture is trained as a time series prediction model using multidimensional time series input features. The model is trained on a dataset containing typical meteorological‐year data points of ambient weather conditions from 50 locations. The attention mechanism in the tran...

2020 IEEE First International Conference on Smart Technologies for Power, Energy and Control (STPEC), 2020

Static Synchronous Series Compensator (SSSC) is the FACTs device that provides the stable and con... more Static Synchronous Series Compensator (SSSC) is the FACTs device that provides the stable and controlled power transmission. In this paper, a more intelligent and optimized SSSC system design is presented with integration of differential evolution method. The method has analyzed the disturbance and phase variation in the system and provided the angular change in phase and improvement in the signal amplitude. The impurities analysis based fitness rule is defined to provide the controlled power distribution. The implemented work is tested against the three phase fault with four integrated machines. The simulation result shows that the proposed work model has improved the stability and reduced the voltage fluctuation.

Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering), 2020

Background: The power industry has been evolving continuously and influenced by a competitive der... more Background: The power industry has been evolving continuously and influenced by a competitive deregulated market. The crucial demand to maximize the efficiency of the existing equipment requires it’s proper management. Flexible AC Transmission System (FACTS) are flexible devices, which provide dynamic control over the power system to cope with its dynamic nature. Methods: An extensive review is carried out on FACT devices covering its classification, importance, optimal placement and influence on the power systems. Results: In this paper, different techniques to identify the optimal location of placing FACT devices have been discussed and compared, as the placement of these devices in the power system is of utmost importance for its efficiency. Conclusion: This paper summarizes techniques available for optimal placement of FACTS devices in order to improve power system performance. It will serve as a ready reference for the future researchers in this field and help them in selecting...

2020 IEEE International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC), Dec 16, 2020

India contributes a major share of the total greenhouse gases on Earth. Many Indian cities are gr... more India contributes a major share of the total greenhouse gases on Earth. Many Indian cities are grappling with air pollution, majority of which is the result of increasing number of vehicles on roads. To contain the rising pollution, countries all over the world are working on alternative sources of energy to meet their energy demand. India out of all countries is in dire need of an intervention to reduce air pollution. Electric vehicles offer a clean alternative mobility solution and can be relatively easily introduced in the two and three wheeler market in India. The present study discusses the need for electric vehicles in India and the technologies available in the market which can be implemented in the Indian scenario. The paper also discusses about the policy decisions taken by the government and investments made by Indian automotive makers in electric vehicle segment. Finally, the paper highlights some of the barriers which are preventing or slowing the growth of electric vehicles in India.

Environment, Development and Sustainability

2020 IEEE 17th India Council International Conference (INDICON)

This paper presents the design of a bi-directional CLLC converter with an Integrated transformer ... more This paper presents the design of a bi-directional CLLC converter with an Integrated transformer for energy storage systems (ESS) applications (48 V batteries). As the distributed energy generation and storage are gaining momentum it Is required to have ESS that can regulate the power bi-directionally, presently the ESS are bulky in size, to enhance the power density and converter efficiency, an integrated transformer is introduced and simulated using 3D Finite Element Analysis (FEA). Essentially, a simple PI-based voltage/current control loop Is implemented on a 32-bit microcontroller (TMS320F28379D). Also, synchronous rectification (SR) Is implemented by controlling the turn-on and turn-off delays on rectifier sides, respectively. The design and control of the CLLC converter are verified through the experimental results. A 300 kHz, 700 W prototype Is built with the peak conversion efficiency of 96.6% while charging and 96.4% while discharging

IEEE Access

Quality power is a very important factor for the proper functioning of appliances and can be enha... more Quality power is a very important factor for the proper functioning of appliances and can be enhanced using shunt active power filters (SAPF). This work demonstrates the hardware implementation of synchronous reference frame (SRF) theory based SAPF. This paper presents the technique of particle swarm optimization (PSO) to tune the gain values of the SAPF PI controller to control the voltage of the DClink and enhance its dynamic efficiency. The estimation of gain values of PI controllers using conventional methods does not yield the expected outcomes under varying load conditions. The PSO tuned controller provides better results as compared to traditional tuning methods. The switching scheme is implemented using hysteresis controller to control the SAPF. The main objectives of this approach are to extract the compensating currents and cancel out the harmonics produced by balanced, unbalanced and nonlinear loads. The planned scheme is designed and implemented in MATLAB/Simulink and then its performance on a developed laboratory prototype is validated experimentally. INDEX TERMS Harmonic mitigation, hysteresis current controller, particle swarm optimization, PI controller, power quality shunt active power filter, synchronous reference frame theory. NOMENCLATURE ADALINE Adaptive Linear Neuron. ADC Analog to Digital Converter. ANN Artificial Neural Network. CDC DC-link Capacitor. C f Ripple Filter Capacitor. d n Switching Function. DAC Digital to Analog Converter. DSTATCOM Distribution Static Compensator. e Error. FLC Fuzzy Logic Control. FPGA Field Programmable Gate Array. g n Switching Function i c Compensating Current.

Communication and Intelligent Systems, 2020

In this article, a scheme is discussed to obtain optimal solutions of the parameters for a grid i... more In this article, a scheme is discussed to obtain optimal solutions of the parameters for a grid integrated hybrid energy system (HES), consisting of photovoltaic (PV) panels and wind turbines. The parameters considered here are the net area covered by the PV modules and the net area swept by the revolving blades of the wind turbine. The objective of this scheme is minimization of life cycle cost (LCC) of the HES and to ensure its reliability at the same time. Loss of power supply probability (LPSP) is the factor considered to measure the reliability of the proposed system. This paper discusses a fitness function which can be used for the combined optimization of the two objectives. The proposed model uses genetic algorithm (GA) to obtain the best suiting values of the decision variables.

2016 International Conference on Electrical Power and Energy Systems (ICEPES), 2016

Shunt active power filter (SAPF) is used to mitigate the current harmonics and to improve the pow... more Shunt active power filter (SAPF) is used to mitigate the current harmonics and to improve the power factor. In this paper, Adaptive linear-neuron (ADALINE) based phase lock loop (PLL) controlling scheme is presented for SAPF. ADALINE networks estimate the fundamental supply frequency. This scheme detects the phase information of the supply voltage and also used for parallel computing as it provides faster convergence. This algorithm is trained by least-mean squares (LMS) rule which offers low computational burden on the system. In this work, ADALINE is tuned using particle swarm optimization (PSO) technique to improve the dynamic performance of the system. The results obtained are compared with conventional PLL control technique and are found to be significantly better. The performance of the proposed ADALINE based control algorithm is validated using MATLAB/Simulink.

This paper proclaims the battery selection for hybrid electric vehicle applications using multi-o... more This paper proclaims the battery selection for hybrid electric vehicle applications using multi-objective optimization techniques. Ashby's methodology, Technique for Order Preferences by Similarity to an Ideal Solution (TOPSIS) and VIse Kriterijum-ska Optimizacija Komprominsno Resenje (VIKOR) methods are employed here for the assessment. Various attributes considered for analysis are specific energy, energy density, electrical efficiency, self-discharge rate, nominal cell voltage, energy, cost and durability. The batteries considered for analysis are Li-ion, Ni-MH, Ni-Cd and Pb-acid. Based on the performance indices and battery attributes, selection charts and tables are presented here. It is observed that Li-ion batteries are most suitable for hybrid electric vehicle applications followed by Ni-MH batteries. The outcomes of all methods considered are uniform and promising. The results obtained are also matched up with actual practices in automotive industries. Alike results con...

International Journal of Power and Energy Systems, 2016

Environment, Development and Sustainability

The original version of this article Saksham Consul et al. (2022) unfortunately contained followi... more The original version of this article Saksham Consul et al. (2022) unfortunately contained following mistakes. The third author Given name and Family name have been published incorrectly. The correct name is: Hari Om Bansal. The affiliation of the fourth author has been published incorrectly. The correct affiliation

Advances in Intelligent Systems and Computing, 2019

The high degree of maneuverability, compactness, and ease, that the modern two-wheelers provide, ... more The high degree of maneuverability, compactness, and ease, that the modern two-wheelers provide, is undeniably important features in today’s domestic environment of road transport. However, the difficulties in balancing these two-wheelers in hilly terrains, the increased uncontrolled traffic with teenagers and carouser driving disastrously, and the accidents caused due to imbalance also need to be noted. Maintaining the pros of the vehicle, a concept of self-balanced bike is proposed in this work. This work proposes a lab prototype of a PID control tuned, self-balancing bike that can be further extended to autonomous bike with path and obstacle detection to travel using global positioning system.

Lecture notes in networks and systems, 2023

DOAJ (DOAJ: Directory of Open Access Journals), Jun 1, 2016

Journal of Renewable and Sustainable Energy, 2016

Energy management strategies significantly influence the fuel efficiency of hybrid electric vehic... more Energy management strategies significantly influence the fuel efficiency of hybrid electric vehicles. They play a crucial role in splitting the power between two sources, namely, engine and the battery. Power split between these two intelligently will enhance the fuel economy and regulates the power flow. Power split between engine and motor depends on state of charge (SOC) of battery, power required at the wheels, and engine's operating range. Various parameters of power train are considered to control the toggling between engine and battery. To achieve parameter optimization, genetic algorithm is practised to realize the optimal performance. A modified SOC estimation algorithm is employed with different battery models to analyze the vehicle performance. The battery models with internal resistance only and combinations of 1RC and 2RC are used. Parameter optimization over different battery models with modified SOC estimation algorithm is performed in different situations and a comparative study is elaborated. V

Environmental Science and Pollution Research

2020 IEEE First International Conference on Smart Technologies for Power, Energy and Control (STPEC)

Mitigation of power oscillations is a key challenge while dealing with power system performance. ... more Mitigation of power oscillations is a key challenge while dealing with power system performance. The stability of the power system is more affected and observable when it is subjected to different faults. In this paper power oscillation damping (POD) controller is used as a supplementary controller to damp-out the oscillation in the power system. Which is designed using a Static Synchronous Series Compensator (SSSC) as a FACTS (Flexible AC transmission system) controller. MATLAB/Simulink software is used to investigate the time domain behavior of SSSC under various conditions. The investigations have validated that the proposed controller effectively improved the performance of power system

Energy Science & Engineering

This paper proposes an improved deep learning‐based maximum power point tracking (MPPT) in solar ... more This paper proposes an improved deep learning‐based maximum power point tracking (MPPT) in solar photovoltaic cells considering various time series‐based environmental inputs. Generally, artificial neural network‐based MPPT algorithms use basic neural network architectures and inputs which do not represent the ambient conditions in a comprehensive manner. In this article, the ambient conditions of a location are represented through a comprehensive set of environmental features. Furthermore, the inclusion of time‐based features in the input data is considered to model cyclic patterns temporally within the atmospheric conditions leading to robust modeling of the MPPT algorithm. A transformer‐based deep learning architecture is trained as a time series prediction model using multidimensional time series input features. The model is trained on a dataset containing typical meteorological‐year data points of ambient weather conditions from 50 locations. The attention mechanism in the tran...

2020 IEEE First International Conference on Smart Technologies for Power, Energy and Control (STPEC), 2020

Static Synchronous Series Compensator (SSSC) is the FACTs device that provides the stable and con... more Static Synchronous Series Compensator (SSSC) is the FACTs device that provides the stable and controlled power transmission. In this paper, a more intelligent and optimized SSSC system design is presented with integration of differential evolution method. The method has analyzed the disturbance and phase variation in the system and provided the angular change in phase and improvement in the signal amplitude. The impurities analysis based fitness rule is defined to provide the controlled power distribution. The implemented work is tested against the three phase fault with four integrated machines. The simulation result shows that the proposed work model has improved the stability and reduced the voltage fluctuation.

Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering), 2020

Background: The power industry has been evolving continuously and influenced by a competitive der... more Background: The power industry has been evolving continuously and influenced by a competitive deregulated market. The crucial demand to maximize the efficiency of the existing equipment requires it’s proper management. Flexible AC Transmission System (FACTS) are flexible devices, which provide dynamic control over the power system to cope with its dynamic nature. Methods: An extensive review is carried out on FACT devices covering its classification, importance, optimal placement and influence on the power systems. Results: In this paper, different techniques to identify the optimal location of placing FACT devices have been discussed and compared, as the placement of these devices in the power system is of utmost importance for its efficiency. Conclusion: This paper summarizes techniques available for optimal placement of FACTS devices in order to improve power system performance. It will serve as a ready reference for the future researchers in this field and help them in selecting...

2020 IEEE International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC), Dec 16, 2020

India contributes a major share of the total greenhouse gases on Earth. Many Indian cities are gr... more India contributes a major share of the total greenhouse gases on Earth. Many Indian cities are grappling with air pollution, majority of which is the result of increasing number of vehicles on roads. To contain the rising pollution, countries all over the world are working on alternative sources of energy to meet their energy demand. India out of all countries is in dire need of an intervention to reduce air pollution. Electric vehicles offer a clean alternative mobility solution and can be relatively easily introduced in the two and three wheeler market in India. The present study discusses the need for electric vehicles in India and the technologies available in the market which can be implemented in the Indian scenario. The paper also discusses about the policy decisions taken by the government and investments made by Indian automotive makers in electric vehicle segment. Finally, the paper highlights some of the barriers which are preventing or slowing the growth of electric vehicles in India.

Environment, Development and Sustainability

2020 IEEE 17th India Council International Conference (INDICON)

This paper presents the design of a bi-directional CLLC converter with an Integrated transformer ... more This paper presents the design of a bi-directional CLLC converter with an Integrated transformer for energy storage systems (ESS) applications (48 V batteries). As the distributed energy generation and storage are gaining momentum it Is required to have ESS that can regulate the power bi-directionally, presently the ESS are bulky in size, to enhance the power density and converter efficiency, an integrated transformer is introduced and simulated using 3D Finite Element Analysis (FEA). Essentially, a simple PI-based voltage/current control loop Is implemented on a 32-bit microcontroller (TMS320F28379D). Also, synchronous rectification (SR) Is implemented by controlling the turn-on and turn-off delays on rectifier sides, respectively. The design and control of the CLLC converter are verified through the experimental results. A 300 kHz, 700 W prototype Is built with the peak conversion efficiency of 96.6% while charging and 96.4% while discharging

IEEE Access

Quality power is a very important factor for the proper functioning of appliances and can be enha... more Quality power is a very important factor for the proper functioning of appliances and can be enhanced using shunt active power filters (SAPF). This work demonstrates the hardware implementation of synchronous reference frame (SRF) theory based SAPF. This paper presents the technique of particle swarm optimization (PSO) to tune the gain values of the SAPF PI controller to control the voltage of the DClink and enhance its dynamic efficiency. The estimation of gain values of PI controllers using conventional methods does not yield the expected outcomes under varying load conditions. The PSO tuned controller provides better results as compared to traditional tuning methods. The switching scheme is implemented using hysteresis controller to control the SAPF. The main objectives of this approach are to extract the compensating currents and cancel out the harmonics produced by balanced, unbalanced and nonlinear loads. The planned scheme is designed and implemented in MATLAB/Simulink and then its performance on a developed laboratory prototype is validated experimentally. INDEX TERMS Harmonic mitigation, hysteresis current controller, particle swarm optimization, PI controller, power quality shunt active power filter, synchronous reference frame theory. NOMENCLATURE ADALINE Adaptive Linear Neuron. ADC Analog to Digital Converter. ANN Artificial Neural Network. CDC DC-link Capacitor. C f Ripple Filter Capacitor. d n Switching Function. DAC Digital to Analog Converter. DSTATCOM Distribution Static Compensator. e Error. FLC Fuzzy Logic Control. FPGA Field Programmable Gate Array. g n Switching Function i c Compensating Current.

Communication and Intelligent Systems, 2020

In this article, a scheme is discussed to obtain optimal solutions of the parameters for a grid i... more In this article, a scheme is discussed to obtain optimal solutions of the parameters for a grid integrated hybrid energy system (HES), consisting of photovoltaic (PV) panels and wind turbines. The parameters considered here are the net area covered by the PV modules and the net area swept by the revolving blades of the wind turbine. The objective of this scheme is minimization of life cycle cost (LCC) of the HES and to ensure its reliability at the same time. Loss of power supply probability (LPSP) is the factor considered to measure the reliability of the proposed system. This paper discusses a fitness function which can be used for the combined optimization of the two objectives. The proposed model uses genetic algorithm (GA) to obtain the best suiting values of the decision variables.

2016 International Conference on Electrical Power and Energy Systems (ICEPES), 2016

Shunt active power filter (SAPF) is used to mitigate the current harmonics and to improve the pow... more Shunt active power filter (SAPF) is used to mitigate the current harmonics and to improve the power factor. In this paper, Adaptive linear-neuron (ADALINE) based phase lock loop (PLL) controlling scheme is presented for SAPF. ADALINE networks estimate the fundamental supply frequency. This scheme detects the phase information of the supply voltage and also used for parallel computing as it provides faster convergence. This algorithm is trained by least-mean squares (LMS) rule which offers low computational burden on the system. In this work, ADALINE is tuned using particle swarm optimization (PSO) technique to improve the dynamic performance of the system. The results obtained are compared with conventional PLL control technique and are found to be significantly better. The performance of the proposed ADALINE based control algorithm is validated using MATLAB/Simulink.

This paper proclaims the battery selection for hybrid electric vehicle applications using multi-o... more This paper proclaims the battery selection for hybrid electric vehicle applications using multi-objective optimization techniques. Ashby's methodology, Technique for Order Preferences by Similarity to an Ideal Solution (TOPSIS) and VIse Kriterijum-ska Optimizacija Komprominsno Resenje (VIKOR) methods are employed here for the assessment. Various attributes considered for analysis are specific energy, energy density, electrical efficiency, self-discharge rate, nominal cell voltage, energy, cost and durability. The batteries considered for analysis are Li-ion, Ni-MH, Ni-Cd and Pb-acid. Based on the performance indices and battery attributes, selection charts and tables are presented here. It is observed that Li-ion batteries are most suitable for hybrid electric vehicle applications followed by Ni-MH batteries. The outcomes of all methods considered are uniform and promising. The results obtained are also matched up with actual practices in automotive industries. Alike results con...

International Journal of Power and Energy Systems, 2016

Environment, Development and Sustainability

The original version of this article Saksham Consul et al. (2022) unfortunately contained followi... more The original version of this article Saksham Consul et al. (2022) unfortunately contained following mistakes. The third author Given name and Family name have been published incorrectly. The correct name is: Hari Om Bansal. The affiliation of the fourth author has been published incorrectly. The correct affiliation

Advances in Intelligent Systems and Computing, 2019

The high degree of maneuverability, compactness, and ease, that the modern two-wheelers provide, ... more The high degree of maneuverability, compactness, and ease, that the modern two-wheelers provide, is undeniably important features in today’s domestic environment of road transport. However, the difficulties in balancing these two-wheelers in hilly terrains, the increased uncontrolled traffic with teenagers and carouser driving disastrously, and the accidents caused due to imbalance also need to be noted. Maintaining the pros of the vehicle, a concept of self-balanced bike is proposed in this work. This work proposes a lab prototype of a PID control tuned, self-balancing bike that can be further extended to autonomous bike with path and obstacle detection to travel using global positioning system.