Robust Optimal Combined Wind-Storage Scheduling Based on Regulatory Cloud

doi:10.12204/j.issn.1000-7229.2020.07.002

Abstract

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:

TM 73

JIANG Dajun， WU Fubao， WANG Qiyun， ZHANG Yanjun， SUN Lixia， WU Yingjun. Robust Optimal Combined Wind-Storage Scheduling Based on Regulatory Cloud[J]. Electric Power Construction, doi: 10.12204/j.issn.1000-7229.2020.07.002.

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