TY - GEN
T1 - A reptile search algorithm-based optimal control method for the hybrid pressure retarded osmosis and photovoltaic system
AU - Chen, Yingxue
AU - Chen, Huatao
AU - Gou, Linfeng
AU - Feng, Guanxiang
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Optimal control of photovoltaic systems (PV) and pressure retarded osmosis (PRO) systems has been a hot topic of research. The method used for maximum power tracking control has always deviated somewhat from the ideal and failed to achieve the expected results. The accuracy and speed of tracking in practical applications have always been a problem. Therefore, a metaheuristic-based Reptile Search Algorithm (RSA) is proposed to solve the MPPT control problem of this system. Solar irradiance, ambient temperature and operating conditions parameters are used as input parameters of the PV/PRO system, and power is used as the output. Finally, the results of RSA were compared with the incremental conductance (INC), perturbation and observation (PO) and grey wolf (GWO) algorithms.
AB - Optimal control of photovoltaic systems (PV) and pressure retarded osmosis (PRO) systems has been a hot topic of research. The method used for maximum power tracking control has always deviated somewhat from the ideal and failed to achieve the expected results. The accuracy and speed of tracking in practical applications have always been a problem. Therefore, a metaheuristic-based Reptile Search Algorithm (RSA) is proposed to solve the MPPT control problem of this system. Solar irradiance, ambient temperature and operating conditions parameters are used as input parameters of the PV/PRO system, and power is used as the output. Finally, the results of RSA were compared with the incremental conductance (INC), perturbation and observation (PO) and grey wolf (GWO) algorithms.
KW - Maximum power point tracking
KW - Photovoltaic
KW - Pressure retarded osmosis
KW - Reptile search algorithm
UR - http://www.scopus.com/inward/record.url?scp=85200364655&partnerID=8YFLogxK
U2 - 10.1109/CCDC62350.2024.10587598
DO - 10.1109/CCDC62350.2024.10587598
M3 - 会议稿件
AN - SCOPUS:85200364655
T3 - Proceedings of the 36th Chinese Control and Decision Conference, CCDC 2024
SP - 2864
EP - 2869
BT - Proceedings of the 36th Chinese Control and Decision Conference, CCDC 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 36th Chinese Control and Decision Conference, CCDC 2024
Y2 - 25 May 2024 through 27 May 2024
ER -
