Solar photovoltaic Maximum Power Point Tracking controller optimization using Grey Wolf Optimizer: A performance comparison between bio-inspired and traditional algorithms
作者：
Highlights：
• An MPPT model optimized by GWO is proposed based on a discrete-time PID controller.
• The controller is compared against other algorithms, P&O, and INC techniques.
• The system response is analyzed for real irradiation, temperature, and load.
• The proposed controller has low oscillations.
• The proposed controller runs well under varying weather conditions.
摘要
•An MPPT model optimized by GWO is proposed based on a discrete-time PID controller.•The controller is compared against other algorithms, P&O, and INC techniques.•The system response is analyzed for real irradiation, temperature, and load.•The proposed controller has low oscillations.•The proposed controller runs well under varying weather conditions.
论文关键词：Optimization,Metaheuristic algorithms,Grey Wolf Optimization,Microgrid,Photovoltaic,Maximum Power Point Tracking,Bio-inspired algorithm
论文评审过程：Received 22 May 2022, Revised 23 August 2022, Accepted 24 August 2022, Available online 30 August 2022, Version of Record 5 September 2022.
论文官网地址：https://doi.org/10.1016/j.eswa.2022.118700
