Optimal Configuration of Hybrid Energy Storage Capacity for Wind Farms Considering Carbon Trading Revenue

doi:10.11930/j.issn.1004-9649.202204093

Abstract

Abstract: The output power of wind farms fluctuates strongly, and direct grid connection will affect the safe and stable operation of the power system. Therefore, it is necessary to optimize energy storage configuration to smooth the wind power, so as to meet the requirements of grid connection. In order to deal with the large energy storage capacity caused by poor tracking of the moving average method, a hierarchical moving average method was proposed to determine the target in smoothing wind power. The wind power offset was decomposed by a Butterworth low-pass filter, and the low-frequency and high-frequency components were used as the reference power of lithium battery energy storage and flywheel energy storage, respectively. In view of the cost of initial investment and replacement of energy storage as well as the revenue from electricity sales and carbon trading, an optimal configuration model of hybrid energy storage capacity for wind farms was established and solved by an adaptive chaotic particle swarm optimization algorithm. Simulation and verification were carried out according to the operation data of a 48MW wind farm. The simulation results show that the hierarchical moving average method is more suitable for determining the target in smoothing wind power, and the hybrid energy storage of lithium battery and flywheel can improve the net income of the energy storage system of wind farms in the whole life cycle.

Key words: carbon trading revenue, wind power smoothing, hybrid energy storage, energy storage capacity configuration, lithium battery energy storage, flywheel energy storage

CHEN Chongde, GUO Qiang, SONG Ziqiu, HU Yang. Optimal Configuration of Hybrid Energy Storage Capacity for Wind Farms Considering Carbon Trading Revenue[J]. Electric Power, 2022, 55(12): 22-33.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202204093

https://www.electricpower.com.cn/EN/Y2022/V55/I12/22

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