Data Aggregation Point Placement and Subnetwork Optimization for Smart Grids  

作　　者：Tien-Wen Sung Wei Li Chao-Yang Lee Yuzhen Chen Qingjun Fang 

机构地区：[1]Fujian Provincial Key Laboratory of Big Data Mining and Applications,College of Computer Science and Mathematics,Fujian University of Technology,Fuzhou,350118,China [2]Department of Computer Science and Information Engineering,National Yunlin University of Science and Technology,Yunlin,640301,Taiwan,China

出　　处：《Computers, Materials & Continua》2025年第4期407-434,共28页计算机、材料和连续体(英文)

基　　金：supported by the Fujian University of Technology under Grant GYZ20016,GY-Z18183,and GY-Z19005;partially supported by the National Science and Technology Council under Grant NSTC 113-2221-E-224-056-.

摘　　要：To transmit customer power data collected by smart meters(SMs)to utility companies,data must first be transmitted to the corresponding data aggregation point(DAP)of the SM.The number of DAPs installed and the installation location greatly impact the whole network.For the traditional DAP placement algorithm,the number of DAPs must be set in advance,but determining the best number of DAPs is difficult,which undoubtedly reduces the overall performance of the network.Moreover,the excessive gap between the loads of different DAPs is also an important factor affecting the quality of the network.To address the above problems,this paper proposes a DAP placement algorithm,APSSA,based on the improved affinity propagation(AP)algorithm and sparrow search(SSA)algorithm,which can select the appropriate number of DAPs to be installed and the corresponding installation locations according to the number of SMs and their distribution locations in different environments.The algorithm adds an allocation mechanism to optimize the subnetwork in the SSA.APSSA is evaluated under three different areas and compared with other DAP placement algorithms.The experimental results validated that the method in this paper can reduce the network cost,shorten the average transmission distance,and reduce the load gap.

关 键 词：Smart grid data aggregation point placement network cost average transmission distance load gap 

分 类 号：TM76[电气工程—电力系统及自动化]