TY - GEN
T1 - Design and Performance Analysis of Photovoltaic Powered DC Motor Drive under Non-uniform Insolation Conditions
AU - Sharma, Surender Kumar
AU - Gupta, Sunil Kumar
AU - Gali, Vijayakumar
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - This manuscript presents a novel control strategy for photovoltaic (PV) driven DC motor application to improve the performance under changing insolation conditions. The PV array exhibits different current- voltage- (I-V) and power-current (P-V) characteristics under changing insolation conditions. Therefore, the DC motor experiences multiple fluctuations at the input side of the motor which lead to fluctuations in torque, increase the heating on the windings and reduce the life of the motor. Various maximum power point tracking (MPPT) techniques are available in the literatures, but they are ineffective in tracking the maximum power points in all the circumstances including partial shading conditions. Hence, to reduce the fluctuations and achieve stable operation of DC motor, a novel particle swarm optimization (PSO) based MPPT technique is proposed in this paper. The PSO MPPT algorithm able to track the global maximum power point of PV array under partial shaded conditions and control the speed of DC motor. The proposed system is designed and modelled using MATLAB tool. A fair performance comparison is made between conventional perturb and observe (P&O) MPPT algorithm and PSO based MPPT algorithm.
AB - This manuscript presents a novel control strategy for photovoltaic (PV) driven DC motor application to improve the performance under changing insolation conditions. The PV array exhibits different current- voltage- (I-V) and power-current (P-V) characteristics under changing insolation conditions. Therefore, the DC motor experiences multiple fluctuations at the input side of the motor which lead to fluctuations in torque, increase the heating on the windings and reduce the life of the motor. Various maximum power point tracking (MPPT) techniques are available in the literatures, but they are ineffective in tracking the maximum power points in all the circumstances including partial shading conditions. Hence, to reduce the fluctuations and achieve stable operation of DC motor, a novel particle swarm optimization (PSO) based MPPT technique is proposed in this paper. The PSO MPPT algorithm able to track the global maximum power point of PV array under partial shaded conditions and control the speed of DC motor. The proposed system is designed and modelled using MATLAB tool. A fair performance comparison is made between conventional perturb and observe (P&O) MPPT algorithm and PSO based MPPT algorithm.
KW - MPPT algorithms
KW - Partial shading conditions
KW - Particle swarm optimization(PSO)
KW - Photovoltaic system
KW - Renewable Energy
UR - http://www.scopus.com/inward/record.url?scp=85130309358&partnerID=8YFLogxK
U2 - 10.1109/ICEEICT53079.2022.9768658
DO - 10.1109/ICEEICT53079.2022.9768658
M3 - Conference contribution
AN - SCOPUS:85130309358
T3 - 2022 1st International Conference on Electrical, Electronics, Information and Communication Technologies, ICEEICT 2022
BT - 2022 1st International Conference on Electrical, Electronics, Information and Communication Technologies, ICEEICT 2022
PB - Institute of Electrical and Electronics Engineers (IEEE)
T2 - 1st International Conference on Electrical, Electronics, Information and Communication Technologies, ICEEICT 2022
Y2 - 16 February 2022 through 18 February 2022
ER -