{"title":"基于启发式优化的以客户为中心的智能绿色建筑控制系统","authors":"Zhu Wang, Rui Yang, Lingfeng Wang, A. Dounis","doi":"10.1109/PSCE.2011.5772457","DOIUrl":null,"url":null,"abstract":"The big challenge of the control system for the intelligent and green building is to maintain the maximum customer comfort with minimum energy consumption. In the paper, a customer-centered multi-agent control system is proposed to meet the challenge. Four different kinds of agents are described, which are switch agent, central coordinator-agent, local controller-agents and load agent. Particle swarm optimization (PSO) is utilized to optimize the overall system and to enhance the intelligence of the system. The preferences of customers are included in the control system design. Customers are offered the flexibility to define control parameters through a graphical user interface (GUI) according to their own preferences.","PeriodicalId":120665,"journal":{"name":"2011 IEEE/PES Power Systems Conference and Exposition","volume":"66 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"31","resultStr":"{\"title\":\"Customer-centered control system for intelligent and green building with heuristic optimization\",\"authors\":\"Zhu Wang, Rui Yang, Lingfeng Wang, A. Dounis\",\"doi\":\"10.1109/PSCE.2011.5772457\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The big challenge of the control system for the intelligent and green building is to maintain the maximum customer comfort with minimum energy consumption. In the paper, a customer-centered multi-agent control system is proposed to meet the challenge. Four different kinds of agents are described, which are switch agent, central coordinator-agent, local controller-agents and load agent. Particle swarm optimization (PSO) is utilized to optimize the overall system and to enhance the intelligence of the system. The preferences of customers are included in the control system design. Customers are offered the flexibility to define control parameters through a graphical user interface (GUI) according to their own preferences.\",\"PeriodicalId\":120665,\"journal\":{\"name\":\"2011 IEEE/PES Power Systems Conference and Exposition\",\"volume\":\"66 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-03-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"31\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE/PES Power Systems Conference and Exposition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PSCE.2011.5772457\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE/PES Power Systems Conference and Exposition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PSCE.2011.5772457","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Customer-centered control system for intelligent and green building with heuristic optimization
The big challenge of the control system for the intelligent and green building is to maintain the maximum customer comfort with minimum energy consumption. In the paper, a customer-centered multi-agent control system is proposed to meet the challenge. Four different kinds of agents are described, which are switch agent, central coordinator-agent, local controller-agents and load agent. Particle swarm optimization (PSO) is utilized to optimize the overall system and to enhance the intelligence of the system. The preferences of customers are included in the control system design. Customers are offered the flexibility to define control parameters through a graphical user interface (GUI) according to their own preferences.
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