Application of Moth-fire Optimization Algorithm in Parameter Identification of Photovoltaic System

2019 4th Asia Conference on Power and Electrical Engineering

能源学;电工学

Zhang, Wenchao^1 ; Wang, Xinjun^2 ; Zhang, Zhenyu^3 ; Wang, Jili^3 ; Ke, Xianbo^3

Beijing Kedong Electric Power Control Co., Ltd., Haidian District, Beijing

100192, China^1

College of Energy and Electrical Engineering, Hohai University, Jiangsu Province, Nanjing

211100, China^2

Northwest Division of State Grid Corporation of China, Xi'an, Shanxi Province

710048, China^3

关键词: Active power;    External dynamics;    Identification algorithms;    Optimization algorithms;    Paper models;    Photovoltaic systems;    Response curves;    Stability of power system;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/486/1/012052/pdf
DOI  :  10.1088/1757-899X/486/1/012052

来源: IOP

【 摘 要 】

In order to deeply study the influence of PV on the stability of power system, it is necessary to accurately reflect the external dynamic response characteristics of the PV system, and accurate PV system parameters are the key factors. For this reason, the moth-fire optimization algorithm is introduced to solve the PV system parameters value. This paper models the PV system and find out the key parameters of it. The active power and reactive power response curves of the grid are measured to identify the parameters of the PV based on the moth-fire optimization algorithm. The results of the example show that the curve fitting effect is better, and the feasibility of the proposed identification algorithm is verified.