A Multi-Objective Risk Scheduling Model of an Electrical Power System-Containing Wind Power Station with Wind and Energy Storage Integration

Hai He, Feixiang Peng, Zhengnan Gao, Xin Liu, Shubo Hu, Wei Zhou and Hui Sun
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Hai He: School of Electrical Engineering, Dalian University of Technology, Dalian 116024, China
Feixiang Peng: School of Electrical Engineering, Dalian University of Technology, Dalian 116024, China
Zhengnan Gao: School of Electrical Engineering, Dalian University of Technology, Dalian 116024, China
Xin Liu: State Grid Shenyang Electric Power Supply Company, Shenyang 116001, China
Shubo Hu: School of Electrical Engineering, Dalian University of Technology, Dalian 116024, China
Wei Zhou: School of Electrical Engineering, Dalian University of Technology, Dalian 116024, China
Hui Sun: School of Electrical Engineering, Dalian University of Technology, Dalian 116024, China

Energies, 2019, vol. 12, issue 11, 1-21

Abstract: The integrated operation of wind storage is a developmental trend for future wind power stations. Compared with energy storage and wind power system scheduling, the utilization ratio of wind power is improved. This paper analyzes the power system scheduling risks that are brought about by wind power stations with wind and energy storage integration and puts forward the corresponding risks indexes, which are based on the physical structure and the long-operation features of the battery energy storage system. This paper also proposes the multi-objective optimization scheduling model, considering the economy of optimization, risk of load-shedding, and wind power curtailment that is caused by the full failure and partial failure of energy storage and wind turbines, and the uncertainty of the wind power output. Example results have shown that the optimization scheduling model can apply to various control strategies and different risk levels of the system, and reduce the risk of an electric power system containing a wind power station with wind and energy storage integration. In the meantime, it can also improve the economical efficiency and utilization rate of the wind power system.

Keywords: wind power; risk; optimal operation; battery energy storage (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
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