高比例新能源下考虑短路比提升的构网型储能分区配置方法
杜向东(1997—),硕士生,从事电力系统规划、构网型储能技术研究。
刘牧阳,教授,博士生导师;E-mail:muyang.liu@xju.edu.cn。
网络出版日期: 2026-05-11
基金资助
新疆维吾尔自治区科技厅重大科技专项项目(2022A01004-2)
Partition-Based Deployment of Grid-Forming Energy Storage to Enhance Short-Circuit Ratio in High Renewable Penetration Systems
Online published: 2026-05-11
随着大规模新能源场站接入电网,电网电压支撑强度降低,难以满足安全稳定要求。适量接入构网型储能可显著增强电网的电压支撑能力,然而,现有构网型储能配置方法多以系统强度提升为导向,忽略了新能源场站拓扑结构差异对构网型储能配置效果的影响,导致储能配置容量偏于保守,经济性有待提升。因此,亟需构建一种考虑电网拓扑结构特征的构网型储能优化配置方法,以在保障系统电压稳定的同时提升储能的利用效率。本文面向高比例新能源电网,研究了一种计及短路比提升的构网型储能分区配置方法。分析了不同拓扑新能源场站下构网型储能配置对新能源多场站短路比提升效果的差异特性;进一步提出一种新能源场站分区优化配置方法,在满足新能源多场站短路比等约束的条件下,以构网型储能接入综合成本最小化为目标,实现电网电压支撑能力的有效提升;最后结合某西北高比例新能源电网场景,基于DIgSILENT平台仿真验证了本文所提构网型储能分区配置方法的有效性和工程适用性。
杜向东, 刘牧阳, 陈雨田, 陈俊儒
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高比例新能源下考虑短路比提升的构网型储能分区配置方法
With the large-scale integration of renewable energy stations into power grids, the voltage support capability of the grid has been weakened, making it difficult to meet the requirements for secure and stable operation. The appropriate integration of grid-forming energy storage (GFMS) can significantly enhance the voltage support capability of the grid. However, most existing allocation methods are primarily oriented toward improving overall system strength, while neglecting the impact of topological differences among renewable energy stations on the effectiveness of GFMS deployment. As a result, the allocated storage capacity tends to be overly conservative, and the economic performance remains to be improved. Therefore, it is necessary to develop an optimized GFMS allocation method that considers the topological characteristics of the power network, so as to enhance the utilization efficiency of energy storage while ensuring system voltage stability. Focusing on power grids with a high penetration of renewable energy, this paper investigates a partitioned allocation method for GFMS considering enhancement of multiple renewable energy stations short-circuit ratio (MRSCR). The differences in the MRSCR improvement effects of GFMS allocation for multiple renewable energy stations under various topological configurations are analyzed. Furthermore, a partition-based optimal allocation method for renewable energy stations is proposed, in which the total cost of GFMS integration is minimized subject to MRSCR and other operational constraints, thereby effectively improving the voltage support capability of the power grid. Finally, the effectiveness and engineering applicability of the proposed partitioned GFMS allocation method are verified through simulations conducted on a high-renewable-penetration power grid in Northwest China using the DIgSILENT platform.
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