Capacity Configuration Strategy for Super Capacitor-Flywheel-Battery Hybrid Energy Storage System

doi:10.11930/j.issn.1004-9649.201802037

Abstract

Abstract: Through the utilization of the hybrid energy storage system, the annual comprehensive cost of energy storage system can be reduced and the economic benefit of photovoltaic power generation system can also be improved. The empirical mode decomposition method is used to decompose the power imbalance between photovoltaic generation and load into high frequency component, intermediate frequency component and low frequency component, which is taken as the reference power of super capacitor, flywheel and battery respectively. In addition, this paper established capacity allocation optimization model with the annual cost as objective function, charging/discharging power and state of charge as the constraints. Genetic algorithm was then deployed to minimize the objective function. Finally the case study result verified the effectiveness of the configuration strategy.

Key words: photovoltaic power generation, hybrid energy storage system, empirical mode decomposition, dividing frequency, capacity allocation

CLC Number:

TM641

LI Xiang, ZHANG Jiancheng, WANG Ning. Capacity Configuration Strategy for Super Capacitor-Flywheel-Battery Hybrid Energy Storage System[J]. Electric Power, 2018, 51(11): 117-124.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.201802037

https://www.electricpower.com.cn/EN/Y2018/V51/I11/117

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