JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2017, Vol. 47 ›› Issue (6): 89-94.doi: 10.6040/j.issn.1672-3961.0.2017.208

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Rolling optimal dispatch method of wind power based on distributed energy storage system

WANG Fei1, XU Jian2, LI Wei3, WANG Xinhao4*, SHI Xiaohan4   

  1. 1. State Grid Shandong Electric Power Company, Jinan 250001, Shandong, China;
    2. Maintenance Company, State Grid Shandong Electric Power Company, Jinan 250118, Shandong, China;
    3. Economic Research Institute, State Grid Shandong Electric Power Company, Jinan 250000, Shandong, China;
    4. Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education(Shandong University), Jinan 250061, Shandong, China
  • Received:2017-04-25 Online:2017-12-20 Published:2017-04-25

Abstract: According to the inherent characteristics of wind power that forecased accuracy increasing with the time-scale decreasing, a multi-time scale and multi-objective coordinated rolling optimal dispatch model was established. Based on the wind power grid-connected standards and combined with distributed battery energy storage system(DBESS), the low-frequency fluctuation of wind power could be damped in time. An optimized model was established with objectives of minimizing the economy of the system and the curtailed wind power. The IEEE 39-bus system with four wind farms and two battery energy storage systems(BESSs)was added for utilizing to verify the optimization dispatch model proposed, and it was solved by genetic algorithm(GA)iteratively. The results showed that the proposed wind-storage rolling optimal dispatch model based on DBESS could reduce the cost of the system operation and increase the amount of wind power griding effectively.

Key words: genetic algorithm(GA), wind power, rolling optimal, multi-objective optimal, wind-storage combined power system, coordinative dispatch

CLC Number: 

  • TM734
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