电测与仪表2024，Vol.61Issue(7)：138-145,8.DOI:10.19753/j.issn1001-1390.2024.07.020
考虑源荷随机性与相关性的直流配电网量测概率优化配置方法
Stochastic optimal placement method of measurement for DC distribution network considering probability and correlation of source load
摘要
Abstract
Large-scale distributed energy resources(DERs)in the form of DC source-load access to the DC distri-bution network.The probability and correlation of DERs power are remarkable,which profoundly affects the accu-racy of the DC distribution network situational awareness with insufficient real-time measurement data and pseudo-measurement data-dependent.It is an urgent need to study the optimal placement of real-time measurement points to ensure the accuracy of system state estimation(SE).Therefore,a pseudo-measurement model of node injected power considering the impact of probability and correlation of source-load power is firstly established in this paper.And a stochastic state estimation(SSE)method for DC distribution network based on the three-point estimation and the modified Nataf transformation is proposed,and the probability distribution of the node voltage estimation devia-tion can be calculated.On this basis,a stochastic optimal placement model of measurement for DC distribution net-work considering the chance constraint of the node voltage estimation deviation is built to minimize the measurement placement cost,and the optimal placement scheme can be figured out.The modified IEEE-33 node system is used to carry out case simulation,and the results show that the proposed method can effectively balance the economy of measurement placement and the SE accuracy.关键词
直流配电网/量测优化配置/概率状态估计/机会约束/伪量测模型Key words
DC distribution network/optimal placement of measurement/stochastic state estimation/chance con-straint/pseudo-measurement model分类
信息技术与安全科学引用本文复制引用
李经儒,潘峰,杨雨瑶,纪伊琳,祁舒喆..考虑源荷随机性与相关性的直流配电网量测概率优化配置方法[J].电测与仪表,2024,61(7):138-145,8.基金项目
南方电网有限责任公司科技项目(GDKJXM20220200) （GDKJXM20220200）
