{"title":"Utility Dependency Reduction by Multi-Agent Participation in Smart Grid","authors":"Sonvir Singh","doi":"10.25728/ASSA.2019.19.2.701","DOIUrl":null,"url":null,"abstract":"The Electric vehicle has a battery to store electric energy in the form of chemical energy as the energy stored in invertor’s batteries. These sources are used as a self-supporting energy source at the time of outage of electricity due to a fault, equipment’s failure and other not working conditions if they have stored energy. In this paper, a multi-agent system is consisting of microgrid agent, home agent, control distribution agent, and supply source. The supply source agents include those agents who control the storage; it also called as energy storage agents which are controlled by house agents. If the utility is not providing the demand energy to the consumers due to fault or some other reasons in this case stored energy in batteries and other resources like a solar panel, small wind plant of the microgrid and provide the energy within the microgrid and outside the microgrid. In this paper main focus is given on the Priority index, cost optimization, and load optimization algorithms. By doing this it helps in providing the energy during the outage at the lower cost and dependency on the main grid may be reduced. It also boosts the principle of bidirectional flow of power which make consumer as a supplier also. This will reduce the electric bill charges and increases the reliability of supply electricity.","PeriodicalId":39095,"journal":{"name":"Advances in Systems Science and Applications","volume":"19 1","pages":"90-100"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Systems Science and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.25728/ASSA.2019.19.2.701","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 1
Abstract
The Electric vehicle has a battery to store electric energy in the form of chemical energy as the energy stored in invertor’s batteries. These sources are used as a self-supporting energy source at the time of outage of electricity due to a fault, equipment’s failure and other not working conditions if they have stored energy. In this paper, a multi-agent system is consisting of microgrid agent, home agent, control distribution agent, and supply source. The supply source agents include those agents who control the storage; it also called as energy storage agents which are controlled by house agents. If the utility is not providing the demand energy to the consumers due to fault or some other reasons in this case stored energy in batteries and other resources like a solar panel, small wind plant of the microgrid and provide the energy within the microgrid and outside the microgrid. In this paper main focus is given on the Priority index, cost optimization, and load optimization algorithms. By doing this it helps in providing the energy during the outage at the lower cost and dependency on the main grid may be reduced. It also boosts the principle of bidirectional flow of power which make consumer as a supplier also. This will reduce the electric bill charges and increases the reliability of supply electricity.
期刊介绍:
Advances in Systems Science and Applications (ASSA) is an international peer-reviewed open-source online academic journal. Its scope covers all major aspects of systems (and processes) analysis, modeling, simulation, and control, ranging from theoretical and methodological developments to a large variety of application areas. Survey articles and innovative results are also welcome. ASSA is aimed at the audience of scientists, engineers and researchers working in the framework of these problems. ASSA should be a platform on which researchers will be able to communicate and discuss both their specialized issues and interdisciplinary problems of systems analysis and its applications in science and industry, including data science, artificial intelligence, material science, manufacturing, transportation, power and energy, ecology, corporate management, public governance, finance, and many others.