摘要
构网型储能设备(grid-forming energy storage system,GFM-ESS)因具备主动构网和提供惯量支持等能力,已成为解决大规模新能源接入引发宽频振荡问题的重要手段。然而,GFM-ESS的容量配置直接影响系统投资成本,在保障系统稳定性的前提下如何实现其经济性配置,成为当前研究热点。现有研究多侧重于提升系统稳定裕度,较少考虑GFM-ESS容量与选址的协同优化,且缺乏统一的量化指标指导配置方案的制定。为此,本工作基于s域模态分析理论,构建了一条集模态识别、关键节点筛选与容量协同优化于一体的完整技术链条,并提出一种考虑经济性约束的GFM-ESS容量与选址协同优化方法。首先,通过归一化模态参与因子对各母线的振荡模态贡献进行定量评估,识别影响不稳定模态的关键节点;针对系统多模态振荡特性,引入粒子群优化(particle swarm optimization,PSO)算法,在预选节点上对储能容量进行协同优化,以满足预设的稳定裕度指标。仿真结果表明,所提技术链能够有效识别关键控制节点,并以较小的GFM-ESS投入容量将原本不稳定的系统恢复至稳定状态,且具备明确的稳定裕度,为新型电力系统中GFM-ESS的合理配置提供了理论支撑。
Grid-forming energy storage systems(GFM-ESS)are essential for mitigating wideband oscillations induced by large-scale renewable energy integration,owing to their active grid-forming and inertia-support capabilities.However,the capacity configuration of GFM-ESS directly influences system investment costs.Achieving economically efficient deployment while maintaining system stability has therefore become a critical research challenge.Existing studies primarily focus on enhancing system stability margins,with limited attention to the coordinated optimization of capacity and siting,and a lack of unified quantitative indicators to guide configuration.To address these gaps,this paper proposes a coordinated optimization method for GFM-ESS capacity and siting under economic constraints,based on s-domain modal analysis.A comprehensive technical framework is developed,integrating modal identification,key-node screening,and coordinated capacity optimization.First,normalized modal participation factors are employed to quantitatively evaluate each bus's contribution to oscillation modes,enabling the identification of critical nodes associated with instability.Considering the system's multi-modal oscillation characteristics,a Particle Swarm Optimization algorithm is then applied to optimize energy storage capacity at the pre-selected nodes,targeting a specified stability margin.Simulation results demonstrate that the proposed framework effectively identifies key control nodes and restores an originally unstable system to stable operation with minimal GFM-ESS capacity,while ensuring a clear stability margin.This study provides theoretical guidance for the rational configuration of GFM-ESS in future power systems.
作者
胡朝华
杜新伟
苟竞
刘文胜
胡鹏飞
HU Zhaohua;DU Xinwei;GOU Jing;LIU Wensheng;HU Pengfei(State Grid Sichuan Electric Power Company,Chengdu 610041,Sichuan,China;Polytechnic Institute,Zhejiang University,Hangzhou 310015,Zhejiang,China;College of Electrical Engineering,Zhejiang University,Hangzhou 310027,Zhejiang,China)
出处
《储能科学与技术》
北大核心
2025年第12期4583-4593,共11页
Energy Storage Science and Technology
基金
国家电网有限公司科技项目(52199723002A)。
关键词
构网型储能
s域模态分析
归一化参与因子
优化配置
经济性约束
grid-forming energy storage
s-domain modal analysis
normalized participation factor
optimal configuration
economic constraints
