{"title":"基于IP的多智能体技术在智能电网环境下的有效微电网控制","authors":"O. K. S. Prakash, P. Rajasekaran, N. Veerappan","doi":"10.1109/ICETEEEM.2012.6494504","DOIUrl":null,"url":null,"abstract":"The implementation of a control network based on multi-agent systems that is capable of making intelligent decisions on behalf of the user has become an area of intense paper. Many works have proposed multi-agent system that deals with buying and selling of energy, algorithms for auction systems however, sharing energy resources among multiple distinct sets of prioritized loads is ignored. It becomes appealing when an excess DER capacity after supplying critical loads is allocated to support non-critical loads that belong to multiple users. It is important to study the interaction and time delay when an agent issues a control signal to control a physical device in a micro grid and when the command is executed. These issues are identified as knowledge gaps that are of focus in this paper. Thus it is to develop an intelligent system with high accuracy and resilience. In this paper it is going to adopt multi agent based maximum demand control in an Matlab environment.","PeriodicalId":213443,"journal":{"name":"2012 International Conference on Emerging Trends in Electrical Engineering and Energy Management (ICETEEEM)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Effective micro grid control in a smart grid environment using IP based multiagent technology\",\"authors\":\"O. K. S. Prakash, P. Rajasekaran, N. Veerappan\",\"doi\":\"10.1109/ICETEEEM.2012.6494504\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The implementation of a control network based on multi-agent systems that is capable of making intelligent decisions on behalf of the user has become an area of intense paper. Many works have proposed multi-agent system that deals with buying and selling of energy, algorithms for auction systems however, sharing energy resources among multiple distinct sets of prioritized loads is ignored. It becomes appealing when an excess DER capacity after supplying critical loads is allocated to support non-critical loads that belong to multiple users. It is important to study the interaction and time delay when an agent issues a control signal to control a physical device in a micro grid and when the command is executed. These issues are identified as knowledge gaps that are of focus in this paper. Thus it is to develop an intelligent system with high accuracy and resilience. In this paper it is going to adopt multi agent based maximum demand control in an Matlab environment.\",\"PeriodicalId\":213443,\"journal\":{\"name\":\"2012 International Conference on Emerging Trends in Electrical Engineering and Energy Management (ICETEEEM)\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 International Conference on Emerging Trends in Electrical Engineering and Energy Management (ICETEEEM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICETEEEM.2012.6494504\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Conference on Emerging Trends in Electrical Engineering and Energy Management (ICETEEEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICETEEEM.2012.6494504","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Effective micro grid control in a smart grid environment using IP based multiagent technology
The implementation of a control network based on multi-agent systems that is capable of making intelligent decisions on behalf of the user has become an area of intense paper. Many works have proposed multi-agent system that deals with buying and selling of energy, algorithms for auction systems however, sharing energy resources among multiple distinct sets of prioritized loads is ignored. It becomes appealing when an excess DER capacity after supplying critical loads is allocated to support non-critical loads that belong to multiple users. It is important to study the interaction and time delay when an agent issues a control signal to control a physical device in a micro grid and when the command is executed. These issues are identified as knowledge gaps that are of focus in this paper. Thus it is to develop an intelligent system with high accuracy and resilience. In this paper it is going to adopt multi agent based maximum demand control in an Matlab environment.