M. Marwan, Muhammad Dihyah Marwan, M. Anshar, J. Jamal, Aksan Aksan, A. Apollo
{"title":"在需求侧响应模型下,应用分时电价方案控制电力峰值需求","authors":"M. Marwan, Muhammad Dihyah Marwan, M. Anshar, J. Jamal, Aksan Aksan, A. Apollo","doi":"10.1109/AIMS52415.2021.9466054","DOIUrl":null,"url":null,"abstract":"The current paper presents is to manage/control the electricity peak demand. In this scheme, the consumer will be able to manage the use of electrical energy for some appliances using innovative technology. In order to achieve the aim of this research, a time of use program was applied under the demand side response model. In this research there are three demand scenarios have been formulated to demonstrated the result of the simulation. An economic model was developed to define the electricity peak demand. As a result, the electricity peak demand can be minimized, such as: 450 MWh (scenario-1), 460 MWh (scenario-2) and 480 MWh (scenario-3). In addition, the New South Wales electricity market was chosen for the case study.","PeriodicalId":299121,"journal":{"name":"2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Applied TOU program to control electricity peak demand under demand side response model\",\"authors\":\"M. Marwan, Muhammad Dihyah Marwan, M. Anshar, J. Jamal, Aksan Aksan, A. Apollo\",\"doi\":\"10.1109/AIMS52415.2021.9466054\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The current paper presents is to manage/control the electricity peak demand. In this scheme, the consumer will be able to manage the use of electrical energy for some appliances using innovative technology. In order to achieve the aim of this research, a time of use program was applied under the demand side response model. In this research there are three demand scenarios have been formulated to demonstrated the result of the simulation. An economic model was developed to define the electricity peak demand. As a result, the electricity peak demand can be minimized, such as: 450 MWh (scenario-1), 460 MWh (scenario-2) and 480 MWh (scenario-3). In addition, the New South Wales electricity market was chosen for the case study.\",\"PeriodicalId\":299121,\"journal\":{\"name\":\"2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)\",\"volume\":\"77 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-04-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AIMS52415.2021.9466054\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIMS52415.2021.9466054","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Applied TOU program to control electricity peak demand under demand side response model
The current paper presents is to manage/control the electricity peak demand. In this scheme, the consumer will be able to manage the use of electrical energy for some appliances using innovative technology. In order to achieve the aim of this research, a time of use program was applied under the demand side response model. In this research there are three demand scenarios have been formulated to demonstrated the result of the simulation. An economic model was developed to define the electricity peak demand. As a result, the electricity peak demand can be minimized, such as: 450 MWh (scenario-1), 460 MWh (scenario-2) and 480 MWh (scenario-3). In addition, the New South Wales electricity market was chosen for the case study.