{"title":"输电线路在线监测设备部署的决策方法","authors":"Yi Sun, Wenqing Ma, Bochuan Gu, Aijun Hou, Rui Lu, Xiaofu Xiong","doi":"10.1109/CEEPE55110.2022.9783412","DOIUrl":null,"url":null,"abstract":"Transmission line online monitoring is an important means to improve the power grid state perception ability and improve the power grid operation and maintenance level. The planning and deployment of on-line monitoring needs to take into account many constraints, such as considerable state, accessible communication and controllable cost. Therefore, this paper proposes a monitoring equipment deployment combination optimization model with the goal of minimizing the number of monitoring equipment deployment under the constraints of obstacle terrain constraints and the upper limit of line observation distance of meteorological disaster risk zones. At the same time, aiming at the communication networking problem of monitoring equipment, a heuristic rule for judging the traffic transmission of WSN + OPGW communication network is proposed, which is convenient to quickly estimate the satisfaction of wireless link bandwidth for the deployment of optical fiber separation lead-down point. The genetic algorithm is used to solve the combined optimization model, and the optimal deployment scheme of on-line monitoring which approximately meets the limit of line observation distance and communication constraints is obtained. The model proposed in this paper can provide auxiliary decision support for making scientific and reasonable deployment planning scheme of monitoring equipment.","PeriodicalId":118143,"journal":{"name":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A Decision-making Method for the Deployment of on-Line Monitoring Devices for Transmission Lines\",\"authors\":\"Yi Sun, Wenqing Ma, Bochuan Gu, Aijun Hou, Rui Lu, Xiaofu Xiong\",\"doi\":\"10.1109/CEEPE55110.2022.9783412\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Transmission line online monitoring is an important means to improve the power grid state perception ability and improve the power grid operation and maintenance level. The planning and deployment of on-line monitoring needs to take into account many constraints, such as considerable state, accessible communication and controllable cost. Therefore, this paper proposes a monitoring equipment deployment combination optimization model with the goal of minimizing the number of monitoring equipment deployment under the constraints of obstacle terrain constraints and the upper limit of line observation distance of meteorological disaster risk zones. At the same time, aiming at the communication networking problem of monitoring equipment, a heuristic rule for judging the traffic transmission of WSN + OPGW communication network is proposed, which is convenient to quickly estimate the satisfaction of wireless link bandwidth for the deployment of optical fiber separation lead-down point. The genetic algorithm is used to solve the combined optimization model, and the optimal deployment scheme of on-line monitoring which approximately meets the limit of line observation distance and communication constraints is obtained. The model proposed in this paper can provide auxiliary decision support for making scientific and reasonable deployment planning scheme of monitoring equipment.\",\"PeriodicalId\":118143,\"journal\":{\"name\":\"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-04-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CEEPE55110.2022.9783412\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEEPE55110.2022.9783412","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Decision-making Method for the Deployment of on-Line Monitoring Devices for Transmission Lines
Transmission line online monitoring is an important means to improve the power grid state perception ability and improve the power grid operation and maintenance level. The planning and deployment of on-line monitoring needs to take into account many constraints, such as considerable state, accessible communication and controllable cost. Therefore, this paper proposes a monitoring equipment deployment combination optimization model with the goal of minimizing the number of monitoring equipment deployment under the constraints of obstacle terrain constraints and the upper limit of line observation distance of meteorological disaster risk zones. At the same time, aiming at the communication networking problem of monitoring equipment, a heuristic rule for judging the traffic transmission of WSN + OPGW communication network is proposed, which is convenient to quickly estimate the satisfaction of wireless link bandwidth for the deployment of optical fiber separation lead-down point. The genetic algorithm is used to solve the combined optimization model, and the optimal deployment scheme of on-line monitoring which approximately meets the limit of line observation distance and communication constraints is obtained. The model proposed in this paper can provide auxiliary decision support for making scientific and reasonable deployment planning scheme of monitoring equipment.