{"title":"恒温负荷下多能频业务的广义最优调度","authors":"V. Trovato","doi":"10.1109/RTSI55261.2022.9905132","DOIUrl":null,"url":null,"abstract":"The paper proposes a novel generalized formulation of the energy-power dynamics of aggregate thermostatic loads to include power profiles that linearly increase/decrease with time within scheduling intervals. It extends previous models admitting only constant profiles. A MILP optimization problem is built to optimize the dispatch of the devices’ energy/power and the simultaneous allocation of multiple frequency services. Case studies, tailored on the Great Britain electricity context, validate the proposed formulation.","PeriodicalId":261718,"journal":{"name":"2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Generalised Optimal Dispatch of Multiple Energy-Frequency Services to Thermostatic Loads\",\"authors\":\"V. Trovato\",\"doi\":\"10.1109/RTSI55261.2022.9905132\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper proposes a novel generalized formulation of the energy-power dynamics of aggregate thermostatic loads to include power profiles that linearly increase/decrease with time within scheduling intervals. It extends previous models admitting only constant profiles. A MILP optimization problem is built to optimize the dispatch of the devices’ energy/power and the simultaneous allocation of multiple frequency services. Case studies, tailored on the Great Britain electricity context, validate the proposed formulation.\",\"PeriodicalId\":261718,\"journal\":{\"name\":\"2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI)\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-08-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RTSI55261.2022.9905132\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RTSI55261.2022.9905132","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Generalised Optimal Dispatch of Multiple Energy-Frequency Services to Thermostatic Loads
The paper proposes a novel generalized formulation of the energy-power dynamics of aggregate thermostatic loads to include power profiles that linearly increase/decrease with time within scheduling intervals. It extends previous models admitting only constant profiles. A MILP optimization problem is built to optimize the dispatch of the devices’ energy/power and the simultaneous allocation of multiple frequency services. Case studies, tailored on the Great Britain electricity context, validate the proposed formulation.