{"title":"用于需求响应计划的公用事业控制面板","authors":"Shayan Behzadirafi, H. Salehfar","doi":"10.1109/NAPS.2013.6666867","DOIUrl":null,"url":null,"abstract":"Demand response (DR) is the largest underutilized reliability resource in North America. This is partly due to the non-existence of a reasonably accurate model for DR in the energy industry to allow utilities to properly apply and manage their current programs. Such models could help utilities in evaluating the impact of DR programs on their system performance and determine which programs are more favorable in view of certain conditions. In this paper a new DR model is developed that is more consistent with demand dynamics compared to previous models. Using this model, various types of common DR programs are modeled and compered on different buses of the IEEE RBTS test system with various load profiles. Results of such studies would allow for a proper planning of the available DR resources based on the system adequacy and reliability needs.","PeriodicalId":421943,"journal":{"name":"2013 North American Power Symposium (NAPS)","volume":"164 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A utility control panel for demand response planning\",\"authors\":\"Shayan Behzadirafi, H. Salehfar\",\"doi\":\"10.1109/NAPS.2013.6666867\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Demand response (DR) is the largest underutilized reliability resource in North America. This is partly due to the non-existence of a reasonably accurate model for DR in the energy industry to allow utilities to properly apply and manage their current programs. Such models could help utilities in evaluating the impact of DR programs on their system performance and determine which programs are more favorable in view of certain conditions. In this paper a new DR model is developed that is more consistent with demand dynamics compared to previous models. Using this model, various types of common DR programs are modeled and compered on different buses of the IEEE RBTS test system with various load profiles. Results of such studies would allow for a proper planning of the available DR resources based on the system adequacy and reliability needs.\",\"PeriodicalId\":421943,\"journal\":{\"name\":\"2013 North American Power Symposium (NAPS)\",\"volume\":\"164 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-11-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 North American Power Symposium (NAPS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NAPS.2013.6666867\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 North American Power Symposium (NAPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NAPS.2013.6666867","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A utility control panel for demand response planning
Demand response (DR) is the largest underutilized reliability resource in North America. This is partly due to the non-existence of a reasonably accurate model for DR in the energy industry to allow utilities to properly apply and manage their current programs. Such models could help utilities in evaluating the impact of DR programs on their system performance and determine which programs are more favorable in view of certain conditions. In this paper a new DR model is developed that is more consistent with demand dynamics compared to previous models. Using this model, various types of common DR programs are modeled and compered on different buses of the IEEE RBTS test system with various load profiles. Results of such studies would allow for a proper planning of the available DR resources based on the system adequacy and reliability needs.