Wind farm's clustering equivalent method based on mixed-copula function considering wind speed correlation of complex terrain

2018 3rd Asia Conference on Power and Electrical Engineering

能源学;电工学

Wang, Chenggen^1 ; Zhou, Qian^1 ; Bu, Jing^2

Power Grid Technology Department State Grid Jiangsu Electric Power Company Research Institute, Nanjing

211100, China^1

School of Automation, Nanjing University of Science and Technology, Nanjing

210094, China^2

关键词: Clustering methods;    Copula functions;    Correlation modeling;    Development trends;    Large scale grids;    Planning and design;    Simulation analysis;    Wind power in chinas;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/366/1/012019/pdf
DOI  :  10.1088/1757-899X/366/1/012019

来源: IOP

【 摘 要 】

Large-scale grid connected wind farms are the main development trend of wind power in China. In the planning and design stage of wind farms, a simplified equivalent model is often used in wind farm equivalents. It makes the wind farm simply equivalent to a single wind turbine, neglecting the change of wind speed correlation caused by the terrain effect. This makes a large error in estimating wind power. In order to solve this problem, a method based on wind speed correlation is proposed to cluster the wind farm of complex terrain. By using the mixed Copula function with tail characteristics, a wind field correlation model with complex terrain features is built. Based on that, EM function is used to identify the Copula function parameters, and the equivalent clustering method of wind farms is built. Finally, the simulation analysis shows that the complex terrain wind farm clustering equivalent method considering wind speed correlation is verified.