摘要
针对目前分布式光伏电源大规模接入配电网中带来的问题,提出了基于广义Benders分解的分布式光伏接入容量规划方法。采用数据驱动顺序选择方法确定C-Vine Copula模型中变量的最优顺序,结合拉丁超立方采样方法和场景评估指标,构建典型负荷-资源相关性场景。在生成的典型场景的基础上,建立了基于广义Benders分解的光伏接入规划模型。该模型分为光伏规划主问题与配电网运行子问题,采用线性规划与最优潮流的方法进行求解。在IEEE 33节点系统网架开展算例分析,结果表明,提出的典型场景生成方法比传统方法的资源误差与负荷误差减少50%以上;规划模型求解所需的计算量减小为原来的11%,计算时间缩短为原来的9%。
In response to the challenges of large-scale integration of distributed photovoltaic(PV)sources into distribution networks,an integration capacity planning method for distributed photovoltaic sources based on generalized 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 sampling(LHS)and scenario evaluation indicators,typical load-resource correlation scenarios are constructed.Building 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 proposed 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.
作者
陈卓
郭寅远
温彦军
马留军
王留涛
吉小鹏
CHEN Zhuo;GUO Yinyuan;WEN Yanjun;MA Liujun;WANG Liutao;JI Xiaopeng(Xuchang KETOP Testing Research Institute Co.,Ltd.,Xuchang,Henan 461000,China;Wiscom System Co.,Ltd.,Nanjing 210000,China;College of Electronic and Information Engineering,Nanjing University of Information Science and Technology,Nanjing 210044,China)
出处
《浙江电力》
2024年第6期31-40,共10页
Zhejiang Electric Power
基金
国家重点研发计划(2018YFB2100100)。
作者简介
陈卓(1978),男,工学硕士,高级工程师,主要从事新能源控制、检测技术方面的研究工作。
