Evaluation Method for the Firm Power Escalation of a Wind-Storage Hybrid Power System

Sanli Zhu, Jiping Lu, Zheng Li and Junyi Lin
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Sanli Zhu: State Key Laboratory of Power Transmission Equipment & System Security and New Technology, School of Electric Engineering of Chongqing University, Shapingba District, Chongqing 400000, China
Jiping Lu: State Key Laboratory of Power Transmission Equipment & System Security and New Technology, School of Electric Engineering of Chongqing University, Shapingba District, Chongqing 400000, China
Zheng Li: State Key Laboratory of Power Transmission Equipment & System Security and New Technology, School of Electric Engineering of Chongqing University, Shapingba District, Chongqing 400000, China
Junyi Lin: State Grid Chongqing Yongchuan Electric Power Supply Branch, Chongqing 400000, China

Energies, 2017, vol. 10, issue 10, 1-12

Abstract: To improve the controllability of the electric power output and the economic performance of a large-scale wind farm, an auxiliary energy storage system is required. This paper deals with the rule of planning reasonable energy storage power and capacity based on the historical annual mean wind speed data, the probability density of the pulsating wind power output, and the warranted firm power provided by the wind farm. Specifically, the evaluation index of the fluctuation degree of the firm power is defined in order to optimize the planned energy storage capacity. After that, the firm power escalation affected by the energy storage power and the conversion rate of the storage device are quantitatively evaluated. All of these analyses contribute in a significant way towards determining the acceptable energy conversion rate with the condition of limited energy storage space of a wind-storage hybrid power system. The proposed evaluation method of the firm power escalation is verified by MatLab simulation results.

Keywords: wind power; energy storage power; energy conversion rate; firm power escalation (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: 2017
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