电力系统保护与控制2024,Vol.52Issue(24):97-108,12.DOI:10.19783/j.cnki.pspc.240218
考虑预测误差不确定性和功率互济的配电网直流合环重构
DC loop-closed reconfiguration for distribution networks considering prediction error uncertainty and power complementarity
摘要
Abstract
To accurately quantify the fluctuation of photovoltaic power and alleviate the risk of voltage exceeding limits caused by distributed photovoltaic integration into distribution networks,a DC loop-closed reconfiguration method for distribution networks considering the uncertainty of prediction error and power complementarity is proposed.By introducing the concept of probability power flow,Gaussian mixture model(GMM)-based probability distribution models for photovoltaic power prediction errors and resultant voltage deviation of buses in distribution networks are established.Then the high-risk buses with voltage exceeding the limit are defined,and the feasibility of any two buses'loop-closed reconfiguration is analyzed according to the conditional probability distribution of the buses'voltage deviation.By calculating the power to be balanced between the loop-closed buses,the power support capability to alleviate voltage exceeding limits is quantified.Thus a DC loop-closed reconfiguration model for distribution networks is proposed with the feasibility of loop-closed and power support capability as the main constraints,and the optimization objective is to minimize comprehensive investment costs,operational losses,and bus voltage deviations.The effectiveness and superiority of the proposed method are verified through IEEE 33-bus test examples on the Matlab 2020a platform.关键词
配电网直流合环/分布式光伏/预测误差不确定性/高斯混合模型/功率互济/二阶锥凸优化Key words
DC loop-closed distribution network/distributed PV/uncertainty of prediction error/Gaussian mixture model/power complementarity/second-order cone-convex optimization引用本文复制引用
成龙,李国庆,王翀,王振浩,马宏博..考虑预测误差不确定性和功率互济的配电网直流合环重构[J].电力系统保护与控制,2024,52(24):97-108,12.基金项目
This work is supported by the Smart Grid Joint Foundation of Commission of NSFC-SGCC(No.U2066208). 国家自然科学基金委员会-国家电网公司智能电网联合基金项目资助(U2066208) (No.U2066208)