Research about the Penetrating Power Limitation of Photovoltaic Based On Power Balance

2018 3rd International Conference on Insulating Materials, Material Application and Electrical Engineering

材料科学;无线电电子学;电工学

Zhang, Yuze^1

School of Business Administration, Hohai University, Changzhou

213022, China^1

关键词: Artificial fish swarm algorithms;    Decision variables;    Fruit Fly Optimization Algorithm (FOA);    Load characteristics;    Mutation operators;    Objective functions;    Output characteristics;    Power limitations;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/452/3/032052/pdf
DOI  :  10.1088/1757-899X/452/3/032052

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

Considering the shortages of the traditional algorithms, this paper proposes a new method to calculate the penetrating limitation of PV from the view of the power balance. Artificial fish swarm algorithm (AFSA) with mutation operator and fruit fly optimization algorithm (FOA) is presented to improve the accuracy and efficiency by using unit commitment and time as decision variables, and penetrating power limitation as objective function. The simulation results show that the important factors to determine penetrating power limitation of PV are the output characteristics of PV power, the output characteristics of conventional units and the load characteristics of power generation. Numerical results prove the correctness and effectiveness of this hybrid algorithm.