基于CSO算法的配电网量测数据缺失重构研究  

Research on the missing reconstruction of distribution network measurement data based on CSO algorithm

作　　者：菅东祥 王晓园 伏睿 李长军 李修军 JIAN Dongxiang;WANG Xiaoyuan;FU Rui;LI Changjun;LI Xiujun(Turpan Power Supply Company,State Grid Xinjiang Electric Power Co.,Ltd.,Turpan 838000,China;State Grid Xinjiang Electric Power Co.,Ltd.,Urumqi 830017,China)

机构地区：[1]国网新疆电力有限公司吐鲁番供电公司,新疆吐鲁番838000 [2]国网新疆电力有限公司,新疆乌鲁木齐830017

出　　处：《电子设计工程》2024年第20期116-120,共5页Electronic Design Engineering

基　　金：新疆维吾尔自治区科技专项子课题(2018A02005-3)。

摘　　要：配电网量测数据维度较高,难以表征,导致数据重构不精准。为解决该问题,研究了基于CSO算法的配电网量测数据缺失重构方法。采用纵横交叉(Crisscross Optimization,CSO)算法处理PV节点、PQ节点,确定配电网节点参与整个缺失重构迭代过程。构建配电网量测数据缺失重构模型,实现对配电网量测数据缺失值重构。由实验结果可知,所提方法经过重构50次后,重构后结果与原始数据一致,并且在任意数据缺失条件下,最大重构误差仅为10%,能够精准实现配电网量测数据缺失重构。Due to the high dimension of distribution network measurement data,it is difficult to characterize it,resulting in inaccurate data reconstruction.In order to solve this problem,a method for reconstructing missing measurement data in distribution networks based on the CSO algorithm was studied.The PV node and PQ node are processed by CSO algorithm,and the distribution network node is determined to participate in the whole missing reconstruction iteration process.Construct the distribution network measurement data missing reconstruction model to realize the distribution network measurement data missing value reconstruction.According to the experimental results,after 50 times of reconstruction,the reconstruction result of the proposed method is consistent with the original data,and the maximum reconstruction error is only 10%under the condition of any missing data,which can accurately achieve the reconstruction of missing measurement data in the distribution network.

关 键 词：CSO算法 配电网 量测数据 缺失重构 SIGMOID函数 

分 类 号：TN98[电子电信—信息与通信工程]