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考虑新能源场站闲置储能的储能电站两阶段配置优化研究

Research on two-stage configuration optimization of energy storage power station considering idle energy storage in new energy stations
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摘要 为提高新能源并网的稳定性,配置储能装置是必要的,但储能装置的过量配置可能造成建设成本的增加和利用效率的降低。针对这一问题,提出一种优化配置方法,旨在利用新能源场站的闲置储能来降低第三方储能电站的建设成本。该方法分为两个阶段:第一阶段,构建以风光消纳最大化为目标的新能源场站储能装置优化调度模型;第二阶段,在评估新能源场站剩余储能容量后,以第三方储能电站的运营收益最大化为目标,对储能电站容量进行优化配置。最后,通过算例分析证明,相比于独立建设储能电站,基于本文方法的第三方储能电站在储能配置容量上有所减小,且建设及维护成本显著降低。 In order to improve the stability of integrating renewable energy sources into the power grid,it is essential to deploy energy storage devices.However,excessive deployment can lead to higher construction costs and lower uti⁃lization efficiency.To tackle this challenge,this paper proposes an optimal deployment approach that leverages idle energy storage in new energy stations to reduce the construction costs of third-party energy storage power stations.This approach comprises two stages:In the first stage,an optimal scheduling model for the energy storage devices in new energy stations is developed,with the goal of maximizing the consumption of wind and solar power.In the second stage,after assessing the remaining storage capacity of new energy stations,the deployment of the energy storage power station capacity is optimized to maximize the operational revenue of third-party energy storage power stations.Case analysis demonstrates that third-party energy storage power stations following this approach exhibit re⁃duced energy storage configuration capacity and significantly lower construction and maintenance costs compared to independently constructed energy storage power stations.
作者 荀汉龙 刘杨 金旭冉 陈佳艺 胡克 XUN Hanlong;LIU Yang;JIN Xuran;CHEN Jiayi;HU Ke(School of Electric Power Engineering,Nanjing Institute of Technology,Nanjing 211167,China)
出处 《浙江电力》 2024年第9期49-57,共9页 Zhejiang Electric Power
基金 国家自然科学基金(51777197) 江苏省双碳专项(BE2022003-4) 江苏省高等学校自然科学研究重大项目(22KJA470005)。
关键词 新能源场站 闲置储能 第三方储能 两阶段优化 配置优化 new energy station idle energy storage third-party energy storage two-stage optimization configura⁃tion optimization
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