浙江电力2024，Vol.43Issue(6)：31-40,10.DOI:10.19585/j.zjdl.202406004
基于广义Benders分解的分布式光伏接入容量规划方法
An integration capacity planning method for distributed photovoltaic sources based on generalized Benders decomposition
摘要
Abstract
In response to the challenges of large-scale integration of distributed photovoltaic(PV)sources into dis-tribution networks,an integration capacity planning method for distributed photovoltaic sources based on general-ized Benders decomposition(GBD)is proposed.The approach utilizes a data-driven sequential selection method to determine the optimal sequence of variables in the C-Vine Copula model.In combination with Latin hypercube sam-pling(LHS)and scenario evaluation indicators,typical load-resource correlation scenarios are constructed.Build-ing upon these generated typical scenarios,the paper has established a photovoltaic source integration planning model based on the GBD.This model comprises a main problem for photovoltaic source planning and a sub-problem for distribution network operation,solved using linear programming and optimal power flow methods,respectively.Case studies are conducted on the grid framework of the IEEE 33-bus system.The results demonstrate that the pro-posed method for generating typical scenarios reduces resource and load errors by over 50%compared to traditional methods.Moreover,the computational complexity of the planning model is reduced by 11%,and the computation time is shortened by 9%compared to previous approaches.关键词
C-Vine Copula/数据驱动顺序选择/广义Benders分解/光伏规划主问题/配电网运行Key words
C-Vine Copula/data-driven sequential selection method/GBD/main problem of photovoltaic source planning/sub-problem of distribution network operation引用本文复制引用
陈卓,郭寅远,温彦军,马留军,王留涛,吉小鹏..基于广义Benders分解的分布式光伏接入容量规划方法[J].浙江电力,2024,43(6):31-40,10.基金项目
国家重点研发计划(2018YFB2100100) （2018YFB2100100）
