基于CMMOPSO算法的构网型储能接入高比例新能源电网的优化配置

doi:10.19799/j.cnki.2095-4239.2024.0762

摘要/Abstract

摘要：

构网型储能在新型电力系统中的作用至关重要，比如参与电力系统调频和惯量控制等。然而，构网型储能的调节作用能否充分发挥，取决于其容量和位置是否正确配置。为解决构网型储能接入电网的优化配置问题，本工作研究了构网型储能参与高比例新能源电力系统调频的定容选址优化配置方法。首先，研究了高比例新能源下构网型储能参与调频的控制策略，包括构网型储能有功-频率下垂控制策略和构网型储能虚拟同步机控制策略，提出将两种控制策略进行协同使用的综合调频方法。然后，以调频效果指标、电网脆弱性指标和储能经济性为多目标进行优化，采用交叉变异多目标粒子群算法(CMMOPSO)，结合逼近理想解排序法(TOPSIS)，从解集中根据信息熵法权重，最终得到构网型储能电站选址定容的优化方案。最后，在某区域电网实际算例中进行验证和优化分析。

关键词: 构网型储能, 定容选址, 高比例新能源

Abstract:

Grid-forming energy storage plays an important role in new power systems; for instance, such storage participates in the frequency modulation and inertia control of power systems. However, whether such grid-forming energy storage can fully function in a regulatory role depends on the correct configuration of its capacity and location. To solve the problem of optimal allocation of grid-forming energy storage access to the power grid, this work examined the optimal allocation method of fixed volume location of grid-forming energy storage participating in the primary frequency modulation of a power system with a high proportion of new energy. First, the control strategy of the storage, including its active power frequency droop control strategy and the virtual synchronous machine control strategy, was examined. A comprehensive frequency regulation method combining the two control strategies was proposed. The primary frequency regulation effect index, power grid vulnerability index, and energy storage economy were considered as multiple objectives. Accordingly, a combination of the cross-mutation multi-objective particle swarm optimization algorithm with the TOPSIS algorithm was adopted. Based on the information entropy method weight from the Pareto solution set, an optimization plan was devised for determining the location and capacity of the grid-forming energy storage power stations. Finally, validation and optimization analyses were conducted for an actual calculation example of a regional power grid.

Key words: grid-forming energy storage, fixed capacity site selection, high proportional renewable energy

中图分类号:

TM 712

刘默斯, 孙志媛, 李今昭, 郑琨, 陈立春. 基于CMMOPSO算法的构网型储能接入高比例新能源电网的优化配置[J]. 储能科学与技术, 2025, 14(1): 162-171.

Mosi LIU, Zhiyuan SUN, Jinzhao LI, Kun ZHENG, Lichun CHEN. Research on the optimal configuration of grid-forming energy storage connected to power systems with high proportional renewable energy based on CMMOPSO[J]. Energy Storage Science and Technology, 2025, 14(1): 162-171.

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待求量	最优解	边界方案1	边界方案2	边界方案3
储能1位置	39	41	40	11
储能2位置	8	16	36	33
储能1容量	1.589	2.228	2.938	1.112
储能2容量	1.470	2.310	2.787	1.127
SOC较低值	0.480	0.364	0.492	0.224
SOC较高值	0.819	0.833	0.750	0.763

指标	最优解	边界方案1	边界方案2	边界方案3
电网脆弱度	0.24082	0.23852	0.24156	0.23932
频率偏差方均根	0.0393	0.0400	0.0383	0.0412
储能成本/元	16639	18446	20476	14507

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