电力系统保护与控制2025，Vol.53Issue(1)：37-46,10.DOI:10.19783/j.cnki.pspc.240683
考虑相关性的配电网分布式光伏承载能力提升方法
A method to improve the carrying capacity of a distributed photovoltaic power distribution network considering correlation
摘要
Abstract
The increasing penetration rate of distributed PV in the distribution network entails higher requirements for its full absorption.To improve the carrying capacity of distributed PV in a distribution network,a method to achieve that considering correlation is proposed.First,the correlation between distributed PV output and load is described by the Frank-Copula function,and the correlation sample matrix of each random variable is obtained based on the Nataf transform,and the probabilistic power flow is calculated.Then,with the target of maximum distributed PV access capacity and the constraint of the power grid operation safety index,a distributed PV capacity enhancement model is established.Finally,the nonlinear reverse learning whale algorithm is proposed to analyze the model,and the IEEE33-node system is taken as an example for simulation analysis.The results show that the proposed method can effectively improve the distributed photovoltaic carrying capacity of the network.关键词
配电网/分布式光伏/相关性/承载能力/非线性反向学习鲸鱼算法Key words
distribution network/distributed photovoltaic/correlation/carrying capacity/nonlinear reverse learning whale algorithm引用本文复制引用
赵洪山,胡浈,魏伟,温开云..考虑相关性的配电网分布式光伏承载能力提升方法[J].电力系统保护与控制,2025,53(1):37-46,10.基金项目
This work is supported by the Science and Technology Project of the Headquarters of State Grid Corporation of China(No.5700-202255222A-1-1-ZN). 国家电网公司总部科技项目资助(5700-202255222A-1-1-ZN) （No.5700-202255222A-1-1-ZN）
