Economic scheduling of renewable energy storage plants with integrated thermal management of energy storage systems and battery life

doi:10.19799/j.cnki.2095-4239.2021.0114

Abstract

Abstract:

The long-term stable operation of renewable battery energy storage systems is closely related to the heat management of energy storage systems, and a reasonable heat management strategy can guarantee the economy and safety of the system. In order to determine a way to carry out the heat management of energy storage systems reasonably and effectively, this study proposes a scheduling strategy for energy storage power plants that considers heat management and battery life with an optimization target of high net profit in intraday real-time scheduling. It also uses the piecewise McCormick method to linearize the bilinear term and then uses Gurobi for a fast solution to meet the intraday real-time scheduling requirements. The case simulation shows that the proposed model can balance heat management and plant economy, which is significantly superior to the traditional scheduling strategy. The piecewise McCormick method offers better results than the general intelligent algorithm in terms of solution time and smaller errors.

Key words: battery energy storage system, heat management, piecewise McCormick, economic dispatch

CLC Number:

TM 73

Chao ZHANG, Kai KANG, Sheng LU, Xinyu QIN, Yanbo HUANG, Zhengtian LI. Economic scheduling of renewable energy storage plants with integrated thermal management of energy storage systems and battery life[J]. Energy Storage Science and Technology, 2021, 10(4): 1353-1363.

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场景	方案	日净利润/元	电池寿命损耗/元
场景1	方案一	124023	3788.64
场景1	方案二	125108	3564.03
场景2	方案一	96643.9	6812.90
场景2	方案二	100724	3464.90

求解方案	求解方法一	求解方法二	求解方法三
求解用时/s	0.62	2	360.3
求解误差/%	22	1.67	0
电站盈利/元	78564	100724	102406

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