PRANAV Chandran - Academia.edu (original) (raw)
Papers by PRANAV Chandran
Control Engineering Practice, Aug 1, 2020
Abstract In a grid connected solar PV system, during grid faults, increase in grid current, dip i... more Abstract In a grid connected solar PV system, during grid faults, increase in grid current, dip in voltage at point of common coupling and overshoot in dc link voltage in the inverter side are observed. The solar PV system gets disconnected from the grid whenever the grid voltage goes below a certain nominal value in order to safeguard the cascaded power converter systems from high currents and over voltages. This paper proposes an intelligent fuzzy based real and reactive power control of inverter for effective Low Voltage Ride Through (LVRT) capability during grid faults. The proposed fuzzy logic based modified inverter real and reactive power control strategy, stabilizes the grid voltage by injecting reactive current and limits the grid over current by reducing active power flow into the grid. To regulate the overshoot in dc link voltage during grid faults, a braking chopper and dynamic braking resistor strategies are included in the proposed LVRT scheme. The performance of the proposed inverter control strategy is studied through simulation of 100 kW grid connected solar PV system in MATLAB/SIMULINK 2018a platform. The algorithm is validated in real time hardware of 1 kW grid connected solar PV system. The simulation and hardware results validate the superior performance of the proposed inverter LVRT control strategy in comparison with other conventional schemes during grid faults.
This paper deals with the Two Switch Buck-Boost AC-DC converter in CCM mode driving a separately ... more This paper deals with the Two Switch Buck-Boost AC-DC converter in CCM mode driving a separately exited dc motor. In order to reduce the risk of damage of motor due to high starting current a three point starter is used in series with the motor. The two switch buck boost converter is controlled in such a way so that the output voltage remains constant despite of variation of the input voltage. Hence the motor is maintained at a constant speed. In this paper a MATLAB/Simulink model of a separately exited dc motor of 5hp, 220V, 16.2A and 1220 rpm driven by a Two Switch Buck Boost Converter has been modeled and simulated.
The detection of infectious disease like Malaria among humans has been a challenging task for a l... more The detection of infectious disease like Malaria among humans has been a challenging task for a long time. Although it is not life-threatening, if timely care is not provided to the individual, it may lead to serious health consequences. It has been realized that certain individualistic parameters like blood sugar, heart rate and body temperature are indicators of occurrence of malaria in a person. The objective of the work is to develop a logistic regression model for prediction of malaria incidence in a person based on the individual parameters. These individualistic parameters are measured non-invasively and fed to the developed logistic regression model. The proposed method detects infectious diseases in a given individual with maximum accuracy, speed and is highly reliable and robust in disease detection.
Power electronics drives are complex systems with coupled dynamical phenomena across electrical, ... more Power electronics drives are complex systems with coupled dynamical phenomena across electrical, control, and mechanical domains. This mix of heterogeneous subsystems obscures straightforward analysis, intuition, and design from an integrated system perspective. In this paper, we first show that each of these subsystems can be converted into an equivalent circuit. Leveraging the universality of energy, we stitch together a unified model where the closed-loop drive system is drawn as a single equivalent circuit. Focusing on permanent magnet synchronous machines with rotor saliency, drive control action is depicted as an RLC circuit, torques from d and q axis stator currents appear as current flows, electromechanical energy conversion is portrayed using an ideal transformer, inertia mimics capacitive storage, and the drivetrain also appears as a circuit. A simulation is provided where an end-to-end closed-loop electric vehicle system is modeled entirely as a circuit.
Now-a-days the usage of power electronic systems has expanded to new and wide application range b... more Now-a-days the usage of power electronic systems has expanded to new and wide application range but the presence of harmonics is a major problem. The nonlinear operation of power semi converters and presence of bridge rectifiers in electronic devices for AC-DC conversion resulted in a high Total Harmonic Distortion (THD) and low Power Factor (PF). Thus there arise the ne ed for a power factor correction circuit along with the power converters for limiting the allowable harmonics on the power lines, and hence to improve the power factor. This paper aims to develop an active power factor correction (PFC) for single phase AC/DC converter, along with a Two Switch Buck-Boost converter. The converter is designed for a load of IkWat220V.
2017 International Conference on Technological Advancements in Power and Energy ( TAP Energy), Dec 1, 2017
The population of Electric Vehicle (EV) is tremendously increasing with the increase in fuel pric... more The population of Electric Vehicle (EV) is tremendously increasing with the increase in fuel price and decrease in availability. As the number of EV increases, along with that the number of EV charging stations should also increase, which constitute a considerable charging impact on the grid from which the supply is taken. In this paper, in order to reduce this charging impact and its after effects, a topology for EV charging station is proposed which also promote the use of EVs. The proposed topology mainly consists of a charging station powered by the grid as well as the storage integrated solar PV system and a controller. The grid dependency of the charging station is reduced by using a renewable energy source (Solar PV) and for improving the system reliability a Battery Energy Storage System (BESS) is incorporated. The control technique helps to reduce the charging impact on the grid by controlling the charging current as per the system conditions. To make the EV Charging Station (EVCS) more customized, three different options (Quick, Green and Budget) for charging are given such that the customer is free to choose one among them according to his requirement. The cost of charging will vary according to the selected mode of charging. A smart Electric Vehicle charging station is designed and the charging current control in various grid conditions are tested and verified by u sing M ATLAB Simulink model and the obtained results are included.
Due to ever-increasing demand for electric power, there is large scale penetration of renewable r... more Due to ever-increasing demand for electric power, there is large scale penetration of renewable resources into the grid, especially solar PV systems. Therefore, it is essential that the solar PV systems remain connected to the grid, during normal and fault conditions. Under occurrence of grid fault, it is seen that there is an occurrence of voltage sag and overcurrent condition at Point of Common Coupling (PCC) and an overshoot in dc link voltage of the inverter. This leads to an imbalance in the power flow from solar PV into the grid. To overcome this condition, this paper proposes a Fuzzy based real and reactive power control strategy (Fuzzy PQ-FRT) for Low Volt-age Ride Through (LVRT) for a single stage grid connected solar PV system. The proposed method is simulated in MATLAB under symmetrical fault conditions. It is seen that, upon implementation of the proposed strategy, over current condition is reduced by 46% from that of uncontrolled condition. Also, dc link voltage and voltage sag conditions are improved greatly, enhancing LVRT capability of the system hence ensuring the solar PV systems remain connected to the grid even during fault conditions according to grid code. The proposed method is also validated in a real-time hardware setup, showing an improvement in PCC voltage during fault occurrence.
IEEJ journal of industry applications, 2021
The development of maximum power point tracking in solar photovoltaic system is important for obt... more The development of maximum power point tracking in solar photovoltaic system is important for obtaining the maximum power, which works satisfactorily when subjected to steady, undisturbed irradiation. Under real-time conditions, the solar panel does not always receive uniform irradiation owing to partial shading, thereby reducing the gross power output from the panel. The presence of partial shading is directly recognized by an occurrence of multiple local peaks in the performance characteristics of the solar panel. During partial shading, conventional maximum power point tracking algorithms fail to detect the global maximum power point, thus operating the panel at a much lower efficiency than desired. This study aimed to accurately detect the occurrence of partial shading condition in the solar Photovoltaic (PV) systems under different irradiation conditions and shading patterns. A partial shading detection mechanism is proposed based on power loss generated from a solar PV array without any sensors incorporated in the real-time platform. The proposed method is cost effective and accurate even under different seasonal and weather conditions, without any empirical constant and sensors. The proposed method is tested experimentally in real-time setup and the results are validated. The method provides a much higher accuracy than the current approximation and power loss method, and it does so by using the minimum number of variables. The proposed detection mechanism is compared with other existing methods in the Maximum Power Point Tracking (MPPT) algorithm, which proves the powerfulness of the algorithm. To test the performance of the proposed method, a real-time PV system with data acquisition using National Instruments LabVIEW is developed. Virtual Bench-8012 is used for data acquisition with a high precision along with intrinsic signal conditioning, and compact RIO-9081with a Field-Programmable Gate Array (FPGA) Virtex-5 LX150 is used for the MPPT algorithm implementation. The experimental results are also verified under different shading patterns and irradiation conditions for detecting the shading of the panel. Hence, it is shown that the detection algorithm has an efficiency of 97% in detecting the shading conditions of the panel.
2019 IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS)
The detection of infectious disease like Malaria among humans has been a challenging task for a l... more The detection of infectious disease like Malaria among humans has been a challenging task for a long time. Although it is not life-threatening, if timely care is not provided to the individual, it may lead to serious health consequences. It has been realized that certain individualistic parameters like blood sugar, heart rate and body temperature are indicators of occurrence of malaria in a person. The objective of the work is to develop a logistic regression model for prediction of malaria incidence in a person based on the individual parameters. These individualistic parameters are measured non-invasively and fed to the developed logistic regression model. The proposed method detects infectious diseases in a given individual with maximum accuracy, speed and is highly reliable and robust in disease detection.
2020 IEEE 21st Workshop on Control and Modeling for Power Electronics (COMPEL)
Power electronics drives are complex systems with coupled dynamical phenomena across electrical, ... more Power electronics drives are complex systems with coupled dynamical phenomena across electrical, control, and mechanical domains. This mix of heterogeneous subsystems obscures straightforward analysis, intuition, and design from an integrated system perspective. In this paper, we first show that each of these subsystems can be converted into an equivalent circuit. Leveraging the universality of energy, we stitch together a unified model where the closed-loop drive system is drawn as a single equivalent circuit. Focusing on permanent magnet synchronous machines with rotor saliency, drive control action is depicted as an RLC circuit, torques from d and q axis stator currents appear as current flows, electromechanical energy conversion is portrayed using an ideal transformer, inertia mimics capacitive storage, and the drivetrain also appears as a circuit. A simulation is provided where an end-to-end closed-loop electric vehicle system is modeled entirely as a circuit.
2018 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting, 2018
This paper presents a unique approach to achieve compactness and improved aperture efficiency thr... more This paper presents a unique approach to achieve compactness and improved aperture efficiency through sandwiched partially reflecting surface (SPRS) in the Fabry-Perot antenna. The proposed antenna features both low profile and high aperture efficiency. A prototype antenna has been designed and validated numerically, which can achieve an aperture efficiency of 74.94% and a gain of 12.35 dBi at 25.3 GHz.
Computers & Electrical Engineering, 2021
IEEJ Journal of Industry Applications, 2021
The development of maximum power point tracking in solar photovoltaic system is important for obt... more The development of maximum power point tracking in solar photovoltaic system is important for obtaining the maximum power, which works satisfactorily when subjected to steady, undisturbed irradiation. Under real-time conditions, the solar panel does not always receive uniform irradiation owing to partial shading, thereby reducing the gross power output from the panel. The presence of partial shading is directly recognized by an occurrence of multiple local peaks in the performance characteristics of the solar panel. During partial shading, conventional maximum power point tracking algorithms fail to detect the global maximum power point, thus operating the panel at a much lower efficiency than desired. This study aimed to accurately detect the occurrence of partial shading condition in the solar Photovoltaic (PV) systems under different irradiation conditions and shading patterns. A partial shading detection mechanism is proposed based on power loss generated from a solar PV array without any sensors incorporated in the real-time platform. The proposed method is cost effective and accurate even under different seasonal and weather conditions, without any empirical constant and sensors. The proposed method is tested experimentally in real-time setup and the results are validated. The method provides a much higher accuracy than the current approximation and power loss method, and it does so by using the minimum number of variables. The proposed detection mechanism is compared with other existing methods in the Maximum Power Point Tracking (MPPT) algorithm, which proves the powerfulness of the algorithm. To test the performance of the proposed method, a real-time PV system with data acquisition using National Instruments LabVIEW is developed. Virtual Bench-8012 is used for data acquisition with a high precision along with intrinsic signal conditioning, and compact RIO-9081with a Field-Programmable Gate Array (FPGA) Virtex-5 LX150 is used for the MPPT algorithm implementation. The experimental results are also verified under different shading patterns and irradiation conditions for detecting the shading of the panel. Hence, it is shown that the detection algorithm has an efficiency of 97% in detecting the shading conditions of the panel.
Control Engineering Practice, 2020
Control Engineering Practice, Aug 1, 2020
Abstract In a grid connected solar PV system, during grid faults, increase in grid current, dip i... more Abstract In a grid connected solar PV system, during grid faults, increase in grid current, dip in voltage at point of common coupling and overshoot in dc link voltage in the inverter side are observed. The solar PV system gets disconnected from the grid whenever the grid voltage goes below a certain nominal value in order to safeguard the cascaded power converter systems from high currents and over voltages. This paper proposes an intelligent fuzzy based real and reactive power control of inverter for effective Low Voltage Ride Through (LVRT) capability during grid faults. The proposed fuzzy logic based modified inverter real and reactive power control strategy, stabilizes the grid voltage by injecting reactive current and limits the grid over current by reducing active power flow into the grid. To regulate the overshoot in dc link voltage during grid faults, a braking chopper and dynamic braking resistor strategies are included in the proposed LVRT scheme. The performance of the proposed inverter control strategy is studied through simulation of 100 kW grid connected solar PV system in MATLAB/SIMULINK 2018a platform. The algorithm is validated in real time hardware of 1 kW grid connected solar PV system. The simulation and hardware results validate the superior performance of the proposed inverter LVRT control strategy in comparison with other conventional schemes during grid faults.
This paper deals with the Two Switch Buck-Boost AC-DC converter in CCM mode driving a separately ... more This paper deals with the Two Switch Buck-Boost AC-DC converter in CCM mode driving a separately exited dc motor. In order to reduce the risk of damage of motor due to high starting current a three point starter is used in series with the motor. The two switch buck boost converter is controlled in such a way so that the output voltage remains constant despite of variation of the input voltage. Hence the motor is maintained at a constant speed. In this paper a MATLAB/Simulink model of a separately exited dc motor of 5hp, 220V, 16.2A and 1220 rpm driven by a Two Switch Buck Boost Converter has been modeled and simulated.
The detection of infectious disease like Malaria among humans has been a challenging task for a l... more The detection of infectious disease like Malaria among humans has been a challenging task for a long time. Although it is not life-threatening, if timely care is not provided to the individual, it may lead to serious health consequences. It has been realized that certain individualistic parameters like blood sugar, heart rate and body temperature are indicators of occurrence of malaria in a person. The objective of the work is to develop a logistic regression model for prediction of malaria incidence in a person based on the individual parameters. These individualistic parameters are measured non-invasively and fed to the developed logistic regression model. The proposed method detects infectious diseases in a given individual with maximum accuracy, speed and is highly reliable and robust in disease detection.
Power electronics drives are complex systems with coupled dynamical phenomena across electrical, ... more Power electronics drives are complex systems with coupled dynamical phenomena across electrical, control, and mechanical domains. This mix of heterogeneous subsystems obscures straightforward analysis, intuition, and design from an integrated system perspective. In this paper, we first show that each of these subsystems can be converted into an equivalent circuit. Leveraging the universality of energy, we stitch together a unified model where the closed-loop drive system is drawn as a single equivalent circuit. Focusing on permanent magnet synchronous machines with rotor saliency, drive control action is depicted as an RLC circuit, torques from d and q axis stator currents appear as current flows, electromechanical energy conversion is portrayed using an ideal transformer, inertia mimics capacitive storage, and the drivetrain also appears as a circuit. A simulation is provided where an end-to-end closed-loop electric vehicle system is modeled entirely as a circuit.
Now-a-days the usage of power electronic systems has expanded to new and wide application range b... more Now-a-days the usage of power electronic systems has expanded to new and wide application range but the presence of harmonics is a major problem. The nonlinear operation of power semi converters and presence of bridge rectifiers in electronic devices for AC-DC conversion resulted in a high Total Harmonic Distortion (THD) and low Power Factor (PF). Thus there arise the ne ed for a power factor correction circuit along with the power converters for limiting the allowable harmonics on the power lines, and hence to improve the power factor. This paper aims to develop an active power factor correction (PFC) for single phase AC/DC converter, along with a Two Switch Buck-Boost converter. The converter is designed for a load of IkWat220V.
2017 International Conference on Technological Advancements in Power and Energy ( TAP Energy), Dec 1, 2017
The population of Electric Vehicle (EV) is tremendously increasing with the increase in fuel pric... more The population of Electric Vehicle (EV) is tremendously increasing with the increase in fuel price and decrease in availability. As the number of EV increases, along with that the number of EV charging stations should also increase, which constitute a considerable charging impact on the grid from which the supply is taken. In this paper, in order to reduce this charging impact and its after effects, a topology for EV charging station is proposed which also promote the use of EVs. The proposed topology mainly consists of a charging station powered by the grid as well as the storage integrated solar PV system and a controller. The grid dependency of the charging station is reduced by using a renewable energy source (Solar PV) and for improving the system reliability a Battery Energy Storage System (BESS) is incorporated. The control technique helps to reduce the charging impact on the grid by controlling the charging current as per the system conditions. To make the EV Charging Station (EVCS) more customized, three different options (Quick, Green and Budget) for charging are given such that the customer is free to choose one among them according to his requirement. The cost of charging will vary according to the selected mode of charging. A smart Electric Vehicle charging station is designed and the charging current control in various grid conditions are tested and verified by u sing M ATLAB Simulink model and the obtained results are included.
Due to ever-increasing demand for electric power, there is large scale penetration of renewable r... more Due to ever-increasing demand for electric power, there is large scale penetration of renewable resources into the grid, especially solar PV systems. Therefore, it is essential that the solar PV systems remain connected to the grid, during normal and fault conditions. Under occurrence of grid fault, it is seen that there is an occurrence of voltage sag and overcurrent condition at Point of Common Coupling (PCC) and an overshoot in dc link voltage of the inverter. This leads to an imbalance in the power flow from solar PV into the grid. To overcome this condition, this paper proposes a Fuzzy based real and reactive power control strategy (Fuzzy PQ-FRT) for Low Volt-age Ride Through (LVRT) for a single stage grid connected solar PV system. The proposed method is simulated in MATLAB under symmetrical fault conditions. It is seen that, upon implementation of the proposed strategy, over current condition is reduced by 46% from that of uncontrolled condition. Also, dc link voltage and voltage sag conditions are improved greatly, enhancing LVRT capability of the system hence ensuring the solar PV systems remain connected to the grid even during fault conditions according to grid code. The proposed method is also validated in a real-time hardware setup, showing an improvement in PCC voltage during fault occurrence.
IEEJ journal of industry applications, 2021
The development of maximum power point tracking in solar photovoltaic system is important for obt... more The development of maximum power point tracking in solar photovoltaic system is important for obtaining the maximum power, which works satisfactorily when subjected to steady, undisturbed irradiation. Under real-time conditions, the solar panel does not always receive uniform irradiation owing to partial shading, thereby reducing the gross power output from the panel. The presence of partial shading is directly recognized by an occurrence of multiple local peaks in the performance characteristics of the solar panel. During partial shading, conventional maximum power point tracking algorithms fail to detect the global maximum power point, thus operating the panel at a much lower efficiency than desired. This study aimed to accurately detect the occurrence of partial shading condition in the solar Photovoltaic (PV) systems under different irradiation conditions and shading patterns. A partial shading detection mechanism is proposed based on power loss generated from a solar PV array without any sensors incorporated in the real-time platform. The proposed method is cost effective and accurate even under different seasonal and weather conditions, without any empirical constant and sensors. The proposed method is tested experimentally in real-time setup and the results are validated. The method provides a much higher accuracy than the current approximation and power loss method, and it does so by using the minimum number of variables. The proposed detection mechanism is compared with other existing methods in the Maximum Power Point Tracking (MPPT) algorithm, which proves the powerfulness of the algorithm. To test the performance of the proposed method, a real-time PV system with data acquisition using National Instruments LabVIEW is developed. Virtual Bench-8012 is used for data acquisition with a high precision along with intrinsic signal conditioning, and compact RIO-9081with a Field-Programmable Gate Array (FPGA) Virtex-5 LX150 is used for the MPPT algorithm implementation. The experimental results are also verified under different shading patterns and irradiation conditions for detecting the shading of the panel. Hence, it is shown that the detection algorithm has an efficiency of 97% in detecting the shading conditions of the panel.
2019 IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS)
The detection of infectious disease like Malaria among humans has been a challenging task for a l... more The detection of infectious disease like Malaria among humans has been a challenging task for a long time. Although it is not life-threatening, if timely care is not provided to the individual, it may lead to serious health consequences. It has been realized that certain individualistic parameters like blood sugar, heart rate and body temperature are indicators of occurrence of malaria in a person. The objective of the work is to develop a logistic regression model for prediction of malaria incidence in a person based on the individual parameters. These individualistic parameters are measured non-invasively and fed to the developed logistic regression model. The proposed method detects infectious diseases in a given individual with maximum accuracy, speed and is highly reliable and robust in disease detection.
2020 IEEE 21st Workshop on Control and Modeling for Power Electronics (COMPEL)
Power electronics drives are complex systems with coupled dynamical phenomena across electrical, ... more Power electronics drives are complex systems with coupled dynamical phenomena across electrical, control, and mechanical domains. This mix of heterogeneous subsystems obscures straightforward analysis, intuition, and design from an integrated system perspective. In this paper, we first show that each of these subsystems can be converted into an equivalent circuit. Leveraging the universality of energy, we stitch together a unified model where the closed-loop drive system is drawn as a single equivalent circuit. Focusing on permanent magnet synchronous machines with rotor saliency, drive control action is depicted as an RLC circuit, torques from d and q axis stator currents appear as current flows, electromechanical energy conversion is portrayed using an ideal transformer, inertia mimics capacitive storage, and the drivetrain also appears as a circuit. A simulation is provided where an end-to-end closed-loop electric vehicle system is modeled entirely as a circuit.
2018 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting, 2018
This paper presents a unique approach to achieve compactness and improved aperture efficiency thr... more This paper presents a unique approach to achieve compactness and improved aperture efficiency through sandwiched partially reflecting surface (SPRS) in the Fabry-Perot antenna. The proposed antenna features both low profile and high aperture efficiency. A prototype antenna has been designed and validated numerically, which can achieve an aperture efficiency of 74.94% and a gain of 12.35 dBi at 25.3 GHz.
Computers & Electrical Engineering, 2021
IEEJ Journal of Industry Applications, 2021
The development of maximum power point tracking in solar photovoltaic system is important for obt... more The development of maximum power point tracking in solar photovoltaic system is important for obtaining the maximum power, which works satisfactorily when subjected to steady, undisturbed irradiation. Under real-time conditions, the solar panel does not always receive uniform irradiation owing to partial shading, thereby reducing the gross power output from the panel. The presence of partial shading is directly recognized by an occurrence of multiple local peaks in the performance characteristics of the solar panel. During partial shading, conventional maximum power point tracking algorithms fail to detect the global maximum power point, thus operating the panel at a much lower efficiency than desired. This study aimed to accurately detect the occurrence of partial shading condition in the solar Photovoltaic (PV) systems under different irradiation conditions and shading patterns. A partial shading detection mechanism is proposed based on power loss generated from a solar PV array without any sensors incorporated in the real-time platform. The proposed method is cost effective and accurate even under different seasonal and weather conditions, without any empirical constant and sensors. The proposed method is tested experimentally in real-time setup and the results are validated. The method provides a much higher accuracy than the current approximation and power loss method, and it does so by using the minimum number of variables. The proposed detection mechanism is compared with other existing methods in the Maximum Power Point Tracking (MPPT) algorithm, which proves the powerfulness of the algorithm. To test the performance of the proposed method, a real-time PV system with data acquisition using National Instruments LabVIEW is developed. Virtual Bench-8012 is used for data acquisition with a high precision along with intrinsic signal conditioning, and compact RIO-9081with a Field-Programmable Gate Array (FPGA) Virtex-5 LX150 is used for the MPPT algorithm implementation. The experimental results are also verified under different shading patterns and irradiation conditions for detecting the shading of the panel. Hence, it is shown that the detection algorithm has an efficiency of 97% in detecting the shading conditions of the panel.
Control Engineering Practice, 2020