Dynamic Economic Dispatch of Power System Considering the Correlation of the Wind Speed
Yang Tian1, Wang Jingbo2, Song Shaoshuai1, Liu Chenxia3
1. State Key Lab of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Baoding 071003 China; 2. Key Lab of Power Electronics for Energy Conservation and Motor Drive of Hebei Province Yanshan University Qinhuangdao 066004 China; 3. State Grid Jibei Zhangjiakou Power Supply Company Zhangjiakou 075000 China
Abstract：With the increasing number and scale of wind farms, the impacts arising from the uncertainty of wind power are significant. According to the difficulty in constructing the probability distribution function of multi-wind speed, the sample space of correlative wind speed is generated by Nataf inverse transformation. A nonlinear multivariable optimization model under a certain risk threshold is established, based on the theory of chance-constrained programming. The scene theory and improved particle swarm optimization algorithm are integrated to solve the model fast, saving computational time and reflecting the best risk level directly. The simulation results of IEEE 30 bus system with two wind farms indicate the feasibility and efficiency of the proposed method.
杨天, 王京波, 宋少帅, 刘辰遐. 考虑风速相关性的电力系统动态经济调度[J]. 电工技术学报, 2016, 31(16): 189-197.
Yang Tian, Wang Jingbo, Song Shaoshuai, Liu Chenxia. Dynamic Economic Dispatch of Power System Considering the Correlation of the Wind Speed. Transactions of China Electrotechnical Society, 2016, 31(16): 189-197.
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2016, Vol. 31 
