PV array reconfiguration with electrical energy storage system for power system frequency regulation

被引:0
作者
Zhou, Jun [1 ]
Liu, Chong [2 ]
Li, Kun [3 ]
机构
[1] State Grid Corp China, Beijing, Peoples R China
[2] China Elect Power Res Inst, Beijing, Peoples R China
[3] Huazhong Univ Sci & Technol, Sch Elect & Elect Engn, State Key Lab Adv Electromagnet Engn & Technol, Wuhan, Peoples R China
关键词
PV array reconfiguration; battery energy storage system; frequency regulation; multi-objective golden eagle optimizer; optimizing operation; PARTIAL SHADING CONDITIONS; ALGORITHM; OPTIMIZATION; ENHANCEMENT; EXTRACTION;
D O I
10.3389/fenrg.2022.971628
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
In this work, a novel PV station participating FR technique based on PV array reconfiguration and battery energy storage system (BESS) is put forward. Through the PV array reconfiguration under Partial shading condition, photovoltaic (PV) system can adjust the output power according to the power dispatch instruction. And with the help of BESS, The PV station can achieve continuous power output. Specifically, a joint PV energy storage system model combining profit maximization and power deviation minimization is established. In order to two conflicting goals simultaneously, multi-objective golden eagle optimizer and improved ideal point decision making method are applied. And Lagrange function is given to determine the weight coefficients of each objective more fairly. Two cases are designed and tested. In the high frequency response simulation test, the profit is increased by 8.4% and the power deviation from FR signal is decreased by 19.98%; meanwhile the profit is increased by 10.07% and power deviation is decreased by 67.69% in the low frequency response test. Therefore, the simulation results verify that the proposed method contributes to the frequency response of PV station.
引用
收藏
页数:11
相关论文
共 25 条
[21]   PV arrays reconfiguration for partial shading mitigation: Recent advances, challenges and perspectives [J].
Yang, Bo ;
Ye, Haoyin ;
Wang, Jingbo ;
Li, Jiale ;
Wu, Shaocong ;
Li, Yulin ;
Shu, Hongchun ;
Ren, Yaxing ;
Ye, Hua .
ENERGY CONVERSION AND MANAGEMENT, 2021, 247
[22]   A novel objective function with artificial ecosystem-based optimization for relieving the mismatching power loss of large-scale photovoltaic array [J].
Yousri, Dalia ;
Babu, Thanikanti Sudhakar ;
Mirjalili, Seyedali ;
Rajasekar, N. ;
Abd Elaziz, Mohamed .
ENERGY CONVERSION AND MANAGEMENT, 2020, 225
[23]   A Robust Strategy Based on Marine Predators Algorithm for Large Scale Photovoltaic Array Reconfiguration to Mitigate the Partial Shading Effect on the Performance of PV System [J].
Yousri, Dalia ;
Babu, Thanikanti Sudhakar ;
Beshr, Eman ;
Eteiba, Magdy B. ;
Allam, Dalia .
IEEE ACCESS, 2020, 8 :112407-112426
[24]   Optimal photovoltaic array reconfiguration for alleviating the partial shading influence based on a modified harris hawks optimizer [J].
Yousri, Dalia ;
Allam, Dalia ;
Eteiba, Magdy. B. .
ENERGY CONVERSION AND MANAGEMENT, 2020, 206
[25]   Optimal mileage-based PV array reconfiguration using swarm reinforcement learning [J].
Zhang, Xiaoshun ;
Li, Chuanzhi ;
Li, Zilin ;
Yin, Xueqiu ;
Yang, Bo ;
Gan, Lingxiao ;
Yu, Tao .
ENERGY CONVERSION AND MANAGEMENT, 2021, 232