Determination of economic dispatch of wind farm-battery energy storage system using Genetic Algorithm

作者：Yuan, Yue^*; Zhang, Xinsong; Ju, Ping; Li, Qiang; Qian, Kejun; Fu, Zhixin

来源：International Transactions on Electrical Energy Systems, 2014, 24(2): 264-280.

DOI：10.1002/etep.1696

• battery energy storage system
• unit commitment
• economic dispatch
• wind farm
• genetic algorithm

This paper considers the incorporation of battery energy storage systems (BESS) into wind farms, for the purpose of achieving economic dispatch for the wind power generators in a manner similar to conventional power plants. A BESS operation optimization model (BOOM) is introduced, and through utilizing unit commitment results, BOOM maximizes a predetermined objective that measures economic benefits obtained from the wind power dispatchability against the BESS cost. Due to the requirements of the formulated problem, a revised genetic algorithm (GA) is developed to solve the combinational-optimization problem, in which the 0-1 variables represent BESS charge-discharge states and continuous variables pertain to BESS power. With the incorporation of the BESS, the resulting wind power stations attain bidirectional regulation capability as the stations can not only export but also absorb energy. Simulation study demonstrates the performance of the proposed design and the efficacy of the developed algorithm.

• 出版日期2014-2
• 单位河海大学