Hierarchical Optimization Control Strategy for Wind Power and Battery Energy Storage Combined System with Battery Life Model
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(1. State Grid Liaoning Electric Power Company Limited Economic Research Institute, Shenyang 110016, China;2. School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China)

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    Abstract:

    In order to effectively stabilize the power fluctuations of the wind farm, improve the grid connection characteristics of the wind farm, and increase the economics and reliability of the wind farm to achieve gridconnected operation, a hierarchical optimization control strategy for wind storage stations that took into account the energy storage life was proposed. Firstly, from the perspective of economics, the charge and discharge characteristics of the energy storage system were analyzed, and the influence of different control methods on the life of the energy storage system was considered. Secondly, the stratifying and zoning control method was used to coordinate the wind power storage station, in which the upper layer performed coordinated power control on centralized energy storage and the entire wind farm level according to grid dispatching demand and timesharing electricity price policy, and the lower layer considered distributed energy storage in the area and coordinated power control between multiple wind turbines. Finally, the improved genetic algorithm was used to solve the hierarchical optimization control model. The results showed that the hierarchical optimization control method realized the reasonable distribution of the energy storage system and the output of the wind turbine in the wind power storage station, the energy storage life was extended, the grid’s ability to absorb wind power was enhanced, and the economic efficiency of the entire wind farm was significantly improved.

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WANG Chunsheng, PAN Xiao, LIU Yan, DENG Xinyang, MA Shaohua, YAN Ning. Hierarchical Optimization Control Strategy for Wind Power and Battery Energy Storage Combined System with Battery Life Model[J]. Electric Machines & Control Application,2018,45(10):19-23, 45.

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History
  • Received:April 25,2018
  • Revised:
  • Adopted:
  • Online: December 17,2019
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