计及光荷场景差异的储能优化配置

曾庆彬 , 梁伟强 , 黄焯辉 , 江浩侠 , 何奉禄 , 羿应棋

南方电网技术 ›› 2025, Vol. 19 ›› Issue (11) : 141 -149.

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南方电网技术 ›› 2025, Vol. 19 ›› Issue (11) : 141 -149. DOI: 10.13648/j.cnki.issn1674-0629.2025.11.013

计及光荷场景差异的储能优化配置

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Optimal Configuration of Energy Storage Considering Scenario Differences in Photovoltaic Load

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摘要

针对储能配置中忽略源荷功率匹配与调控需求差异导致配置不合理、影响效能及损害利益的问题,提出一种考虑光荷场景差异性的储能优化配置方法。首先,从光荷功率差异、匹配以及分布角度,分析了不同典型场景对储能配置运行的需求差异。其次,根据系统各场景储能调控需求度差异,修正各场景原概率系数,增添需求侧重性。然后,基于各场景新概率系数,建立储能优化配置模型,以储能提升运行效益和折损成本最优为目标,并采用多种方法凸化模型中的非线性项。最后,基于改进的IEEE 33节点配电网为例,采用Gurobi求解器得到储能配置方案,验证所提配置方法有效性。

Abstract

To address the problem of unreasonable energy storage configurations caused by ignoring the differences in source-load power matching and control demands, which impacts efficiency and harms stakeholders' interests, an optimized energy storage configuration method is proposed considering the variations in photovoltaic-load scenarios. Firstly, from the perspectives of photocharge power differences, matching and distribution, the differences in demand for energy storage configuration operation in different typical scenarios are analyzed. Secondly, according to the differences in energy storage control demand of each scenario, the original probability coefficients of each scenario are corrected to add demand focus. Then, based on the new probability coefficients of each scenario, an energy storage optimization configuration model is established, with the goal of improving operating efficiency and optimal loss cost of energy storage, and a variety of methods are used to convexize the nonlinear terms in the model. Finally, based on the improved IEEE 33-node distribution network, a Gurobi solver is used to obtain the energy storage configuration scheme and verify the effectiveness of the proposed configuration method.

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关键词

配电网 / 折损成本 / 概率系数 / 场景差异 / 优化配置 / 储能

Key words

distribution network / discounted costs / probability coefficient / scenario differences / optimization configuration / energy storage

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曾庆彬,梁伟强,黄焯辉,江浩侠,何奉禄,羿应棋. 计及光荷场景差异的储能优化配置[J]. 南方电网技术, 2025, 19(11): 141-149 DOI:10.13648/j.cnki.issn1674-0629.2025.11.013

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国家自然科学基金资助项目(62173148)

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