Adithya Ramanujam, Mahesh Parihar, Suchitra Swain, K. Ramamritham
{"title":"Design and Development of Brownout Control Strategy Using End-Point Load Control","authors":"Adithya Ramanujam, Mahesh Parihar, Suchitra Swain, K. Ramamritham","doi":"10.1145/3396851.3397738","DOIUrl":null,"url":null,"abstract":"Imbalances in electricity supply and demand are a significant problem in developing countries resulting in rolling blackouts/load shedding. Due to the inconvenience caused by blackouts, several brownout (partial blackout) strategies have been proposed. In this paper, we resort to keeping the electricity demand of a household within a specified threshold. Our approach combines two distinct methods of end-point load (appliance) control: priority-based techniques and combinatorial optimization-based techniques to create a hybrid approach that gives users flexibility in configuring their preferences on-the-fly. We have quantified the user preferences using the Analytical Hierarchy Process, which is useful for solving such Multi-Criteria Decision-Making problems.","PeriodicalId":442966,"journal":{"name":"Proceedings of the Eleventh ACM International Conference on Future Energy Systems","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Eleventh ACM International Conference on Future Energy Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3396851.3397738","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Imbalances in electricity supply and demand are a significant problem in developing countries resulting in rolling blackouts/load shedding. Due to the inconvenience caused by blackouts, several brownout (partial blackout) strategies have been proposed. In this paper, we resort to keeping the electricity demand of a household within a specified threshold. Our approach combines two distinct methods of end-point load (appliance) control: priority-based techniques and combinatorial optimization-based techniques to create a hybrid approach that gives users flexibility in configuring their preferences on-the-fly. We have quantified the user preferences using the Analytical Hierarchy Process, which is useful for solving such Multi-Criteria Decision-Making problems.