Ning Luo, Ludong Chen, Jinsen Liu, Pengcheng Zhang, Fei Zheng
{"title":"基于量子编码的离散粒子群算法的配电网络重构","authors":"Ning Luo, Ludong Chen, Jinsen Liu, Pengcheng Zhang, Fei Zheng","doi":"10.1109/ICOCWC60930.2024.10470728","DOIUrl":null,"url":null,"abstract":"Quantum-coded discrete particle swarm optimization (QBPSO) is a new optimization method which combines quantum computation principle and traditional particle swarm optimization (PSO) algorithm. By introducing the probabilistic representation of qubits, the algorithm improves the population diversity and enhances the global search ability. In the distribution network reconfiguration problem, the algorithm can be used to find the optimal structure of the network in order to reduce the loss, balance the load, improve the reliability of power supply and so on.","PeriodicalId":518901,"journal":{"name":"2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC)","volume":"60 24","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2024-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Distribution Network Reconstruction Based on Discrete Particle Swarm Algorithm Based on Quantum Coding\",\"authors\":\"Ning Luo, Ludong Chen, Jinsen Liu, Pengcheng Zhang, Fei Zheng\",\"doi\":\"10.1109/ICOCWC60930.2024.10470728\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Quantum-coded discrete particle swarm optimization (QBPSO) is a new optimization method which combines quantum computation principle and traditional particle swarm optimization (PSO) algorithm. By introducing the probabilistic representation of qubits, the algorithm improves the population diversity and enhances the global search ability. In the distribution network reconfiguration problem, the algorithm can be used to find the optimal structure of the network in order to reduce the loss, balance the load, improve the reliability of power supply and so on.\",\"PeriodicalId\":518901,\"journal\":{\"name\":\"2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC)\",\"volume\":\"60 24\",\"pages\":\"1-4\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICOCWC60930.2024.10470728\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOCWC60930.2024.10470728","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Distribution Network Reconstruction Based on Discrete Particle Swarm Algorithm Based on Quantum Coding
Quantum-coded discrete particle swarm optimization (QBPSO) is a new optimization method which combines quantum computation principle and traditional particle swarm optimization (PSO) algorithm. By introducing the probabilistic representation of qubits, the algorithm improves the population diversity and enhances the global search ability. In the distribution network reconfiguration problem, the algorithm can be used to find the optimal structure of the network in order to reduce the loss, balance the load, improve the reliability of power supply and so on.