Control and Intelligent Optimization of a Photovoltaic (PV) Inverter System: A Review

Qianjin Zhang (), Zhaorong Zhai, Mingxuan Mao (), Shijing Wang, Siwei Sun, Dikui Mei and Qi Hu
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Qianjin Zhang: School of Electrical and Information Engineering, Anhui University of Technology, Ma’anshan 243032, China
Zhaorong Zhai: School of Electrical and Information Engineering, Anhui University of Technology, Ma’anshan 243032, China
Mingxuan Mao: School of Automation, Wuxi University, Wuxi 214105, China
Shijing Wang: State Grid Anhui Wuhu Power Supply Company, Wuhu 241000, China
Siwei Sun: School of Electrical and Information Engineering, Anhui University of Technology, Ma’anshan 243032, China
Dikui Mei: School of Electrical and Information Engineering, Anhui University of Technology, Ma’anshan 243032, China
Qi Hu: School of Electrical and Information Engineering, Anhui University of Technology, Ma’anshan 243032, China

Energies, 2024, vol. 17, issue 7, 1-18

Abstract: PV power generation is developing fast in both centralized and distributed forms under the background of constructing a new power system with high penetration of renewable sources. However, the control performance and stability of the PV system is seriously affected by the interaction between PV internal control loops and the external power grid. The impact of the PV system on the reliability, stability, and power quality of power systems has restricted them to further participate in power supplies with a large capacity. Traditional control methods have become ineffective at dealing with these problems as the PV system becomes increasingly complex and nonlinear. Intelligent control as a more advanced technology has been integrated into the PV system to improve system control performance and stability. However, intelligent control for the PV system is still in the early stages due to the extensive calculation and intricate implementation of intelligent algorithms. Further investigations should be carried out to effectively combine intelligent control with the PV system to constitute an intelligent PV power system with multiple functions, high stability, and high-performance. This paper provides a systematic classification and detailed introduction of various intelligent optimization methods in a PV inverter system based on the traditional structure and typical control. The future trends and research topics are given to provide a reference for the intelligent optimization control in the PV system.

Keywords: inverter control; intelligent optimization; PV system; review (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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