计及多维源荷相关性和调峰能力的虚拟电厂规划  

Virtual Power Plant Planning Considering Multi-dimensional Generation-load Correlation and Peak Shaving Ability

作　　者：关轶文 张宸 张正 薛可新 王越[1] GUAN Yiwen;ZHANG Chen;ZHANG Zheng;XUE Kexin;WANG Yue(College of Information and Electrical Engineering,China Agricultural University,Haidian District,Beijing 100083,China)

机构地区：[1]中国农业大学信息与电气工程学院,北京市海淀区100083

出　　处：《电网技术》2025年第3期899-909,I0014-I0016,共14页Power System Technology

基　　金：国家自然科学基金项目(51977210)。

摘　　要：高渗透率可再生能源并网对电力系统调峰提出了更高的要求,分布式能源与柔性负荷之间的相关性对虚拟电厂规划运行有着至关重要的影响。提出了一种考虑多维度源荷时空相关性和综合调峰能力的虚拟电厂优化聚合模型。首先,基于R-Vine Copula函数构建源荷相关性模型,运用Kshape算法对高维源荷联合场景进行场景缩减。此外,提出一种虚拟电厂综合调峰能力指标,量化聚合资源的整体响应能力和可信度,同时区别各类资源在虚拟电厂内的调峰贡献。最后,以促进新能源消纳、为电网提供调节能力为目标,构建多目标虚拟电厂规划模型,确定最优的资源聚合策略。最后,通过在河北省廊坊市某地区的实际应用验证了所提指标和模型的有效性,得到具有一定指导性的结论。A high proportion of renewable energy in power systems puts higher requirements for peak shaving.The correlation between distributed energy resources and flexible loads is vital to virtual power plant planning.This paper contributes an optimal resources aggregation model of a virtual power plant considering multi-dimensional generation-load correlation and peak shaving ability.First,the spatio-temporal correlation between generation and load is modeled through the R-vine Copula embedding Kshape algorithm to reduce high-dimensional joint scenarios.Also,a synthetical indicator termed multi-dimensional peak shaving ability is proposed to quantify the overall responsiveness and credibility of the aggregated resources and differentiate the contribution of each.Finally,A multi-objective VPP planning model is proposed to promote renewable energy consumption and provide regulation capacity for the power grid to determine the optimal resource aggregation strategy.The performance of the proposed indicator and planning method is demonstrated through a practical application to a district of Langfang City,Hebei province,obtaining conclusions with certain guiding significance.

关 键 词：虚拟电厂规划 源荷时空相关性 综合调峰能力 

分 类 号：TM721[电气工程—电力系统及自动化]