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随着新能源渗透率的不断提高和大量电力电子设备的接入，电力系统逐渐出现惯性减小、系统强度变弱的趋势，使得跟网型风机等设备在一些情况下难以维持并网状态。储能系统拥有建立和支撑电压的能力，能够有效解决新能源难以并入弱电网的问题。本文分析了高比例新能源基地中风光储各部分的惯量响应特性，在此基础上，结合电力系统的传统惯量对新能源场站惯量建模，并进一步形成新能源基地最小惯量需求。从成本与收益角度出发，建立了计及频率安全稳定性约束的储能对高比例新能源基地并网系统综合效益提升优化配置模型，采用粒子群算法对储能优化配置模型进行求解，以日为单位采用kmeans聚类方法构建季节典型场景。最后对典型场景系统进行算例分析，验证所提优化方法的有效性。
Abstract：With the continuous improvement of the penetration rate of new energy and the access of a large number of power electronic equipment,the power system gradually shows a trend of decreasing inertia and weakening system strength,which makes it difficult for equipment such as grid-based fans to maintain grid-connected status in some cases.The energy storage system has the ability to establish and support voltage,which can effectively solve the problem that new energy is difficult to integrate into the weak power grid.In this paper,the inertia response characteristics of each part of the wind-solar-storage in the high-proportion new energy base are analyzed,and on this basis,the inertia of the new energy station is modeled,and the minimum inertia demand of the new energy base is formed.From the perspective of cost and benefit,an optimal configuration model of energy storage for the comprehensive benefit improvement of the grid-connected system with a high proportion of new energy bases,considering the constraints of frequency safety and stability,is established. The particle swarm optimization configuration model is used to solve the energy storage optimal configuration model,and the kmeans clustering method is used to construct the typical seasonal scenarios on a daily basis.Finally,a typical scenario system analysis is carried out to verify the effectiveness of the proposed configuration method.
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基本信息:
DOI：10.20097/j.cnki.issn1007-9904.240460
中图分类号:TM73
引用信息:
[1]李红刚,李勇,李晓宁,等.基于储能惯量支撑的高比例新能源基地效益提升优化方法[J].山东电力技术,2025,52(12):27-37.DOI:10.20097/j.cnki.issn1007-9904.240460.
基金信息:
国网山东省电力公司科技项目（2023A-086）~~
2024-11-17
2024
2025-07-14
2025
2
2025-12-25
2025-12-25