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Robust Optimal Combined Wind-Storage Scheduling Based on Regulatory Cloud

JIANG Dajun1, WU Fubao1, WANG Qiyun2, ZHANG Yanjun3, SUN Lixia2, WU Yingjun2   

  1. 1. China Electric Power Research Institute, Nanjing 210003, China; 2. College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China; 3.State Grid Liaoning Electric Power Supply Co.,Ltd., Shenyang 110004, China
  • Online:2020-07-01
  • Supported by:
    This work is supported by research program“Key Technologies of Energy Storage Configuration for Improving Active Support Capability of Renewable Energy Power Stations”of State Grid Corporation of China.

Abstract: Regulatory cloud based on cloud computing has the characteristics of comprehensive information perception, high processing efficiency, convenient and flexible application, which is very consistent with the future power grid characterized by high intelligence. This paper presents a robust scheduling optimization method for combined wind-storage system. Firstly, cluster analysis is made on the annual actual output big data of wind farm by using regulatory cloud. Wind power correction curves are formed on the basis of the typical set of wind power scenarios. Then, a joint robust scheduling method for wind power, energy storage and conventional units is proposed according to the wind power correction curves. Finally, the simulation results of IEEE 39-bus system verify that this method can effectively reduce the scheduling cost and wind curtailment.

Key words: regulatory cloud, wind power, energy storage system, robust scheduling

CLC Number: