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系统并网技术 调峰调频 构网型GFM 弱电网并网 风光储 ★ 5.0

高可再生能源渗透率下波动性可再生能源容量价值再审视

Revisiting Capacity Value of Variable Renewable Energy Generation in Power Systems with High Renewable Energy Penetration

作者
期刊 现代电力系统通用与清洁能源学报
出版日期 2025年9月
卷/期 第 2025 卷 第 5 期
技术分类 系统并网技术
技术标签 调峰调频 构网型GFM 弱电网并网 风光储
相关度评分 ★★★★★ 5.0 / 5.0
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中文摘要

本文重新审视高可再生能源渗透率下波动性可再生能源(VRE)的容量价值(CV),提出基于系统充裕度的广义失负荷函数评估框架,结合负荷与VRE出力的统计特性推导解析表达式,识别发电方差、源荷相关性及系统充裕度等关键影响因素。

English Abstract

Adequacy is a key concern of power system plan-ning,which refers to the availability of sufficient facilities to meet demand.The capacity value(CV)of variable renewable energy(VRE)generation represents its equivalent contribution to system adequacy,in comparison to conventional generators.While VRE continues to grow and increasingly dominates the generation portfolio,its CV is becoming non-negligible,with the corresponding impact mechanisms becoming more complicated and nuanced.In this paper,the concept of CV is revisited by analyzing how VRE contributes to power system balancing at a high renewable energy penetration level.A generalized loss function is incorporated into the CV evaluation framework con-sidering the adequacy of the power system.An analytical meth-od for the CV evaluation of VRE is then derived using the sta-tistical properties of both hourly load and VRE generation.Through the explicit CV expression,several critical impact fac-tors,including the VRE generation variance,source-load corre-lation,and system adequacy level,are identified and discussed.Case studies demonstrate the accuracy and effectiveness of the proposed method in comparison to the traditional capacity fac-tor-based methods and convolution-based methods.In the IEEE-RTS79 test system,the CV of a 2500 MW wind farm(with 40%renewable energy penetration level)is found to be 6.8%of its nameplate capacity.Additionally,the sensitivity of CV to var-ious impact factors in power systems with high renewable ener-gy penetration is analyzed.
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SunView 深度解读

该研究直接支撑阳光电源在高比例新能源电网中的系统级价值量化能力,对PowerTitan、PowerStack等构网型储能系统参与容量市场和辅助服务定价具有指导意义;其CV评估方法可嵌入iSolarCloud智能平台,优化ST系列PCS在风光储协同场景下的容量配置与调度策略,助力客户提升项目经济性与电网合规性。