Power Generation Technology ›› 2019, Vol. 40 ›› Issue (1): 91-98.DOI: 10.12096/j.2096-4528.pgt.18151

• New and Renewable Energy • Previous Articles    

Research on the Method of Stabilizing the Power Output Fluctuation of Wind Farm by Electric Vehicles

Yu CHEN1(),Xiao PENG2,Jing DING3,Yazhou WANG1,Jingping SHAO1   

  1. 1 Hubei Huadian Xisaishan Power Generation Co. LTD, Huangshi 435001, Hubei Province, China
    2 State Grid Hubei Electric Power Co., LTD, Jingzhou City Jingzhou District Power Supply Company, Jingzhou 434000, Hubei Province, China
    3 State Grid Hubei Electric Power Co., LTD, Ezhou City Echeng District Power Supply Company, Ezhou 436000, Hubei Province, China
  • Received:2018-10-09 Published:2019-02-28 Online:2019-02-26

Abstract:

Owing to the inherent randomness and intermittency of wind power, the output power of wind farm tends to fluctuate greatly. However, considering the high cost of energy storage device, it is not good for the wind farm to configure energy storage device. This paper studies the fluctuation of output power fluctuation in the wind power field considering the participation of electric vehicles. Firstly, according to the requirement of the national standard of stroke, "active power change", the rate of output power of wind farm is described by the concept of climbing rate. Then, using the robust optimization method to deal with the uncertainty of wind power, wind turbines and electric cars, coordinated control of bi-level optimization model:the upper model decision makers is a wind farm, with wind farms sell electricity utility maximization as the objective function; The lower-level model decision makers are electric car owners, and the cost of electric power costs is minimized to the target function. In addition, this robust optimization model is transformed into a hybrid integer linear programming problem by using the linear programming dual theorem and Karush-Kuhn Tucker (KKT) optimality conditions. Finally, the effectiveness of the proposed model and method is verified by simulation.

Key words: wind farm, electric vehicle, power fluctuation, robust optimization, double layer optimization