{"title":"电网电价对配电网潮流的影响","authors":"Donald Azuatalam, G. Verbič, Archie C. Chapman","doi":"10.1109/AUPEC.2017.8282380","DOIUrl":null,"url":null,"abstract":"In this paper, the impacts of different network tariffs on the consumption pattern of electricity consumers/prosumers and the resultant effects on the distribution network is evaluated. A home energy management system (HEMS) based mixed integer linear programming (MILP) model is developed for 39 customers connected to a low voltage (LV) residential feeder to analyse the impacts of demand and energy-based tariffs on network performance. Results show that tariffs with a peak-demand component perform better in terms of electricity cost reduction for the customer, as well as in reducing peak demand and line loading for networks with high PV-battery penetration levels.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Impacts of network tariffs on distribution network power flows\",\"authors\":\"Donald Azuatalam, G. Verbič, Archie C. Chapman\",\"doi\":\"10.1109/AUPEC.2017.8282380\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, the impacts of different network tariffs on the consumption pattern of electricity consumers/prosumers and the resultant effects on the distribution network is evaluated. A home energy management system (HEMS) based mixed integer linear programming (MILP) model is developed for 39 customers connected to a low voltage (LV) residential feeder to analyse the impacts of demand and energy-based tariffs on network performance. Results show that tariffs with a peak-demand component perform better in terms of electricity cost reduction for the customer, as well as in reducing peak demand and line loading for networks with high PV-battery penetration levels.\",\"PeriodicalId\":155608,\"journal\":{\"name\":\"2017 Australasian Universities Power Engineering Conference (AUPEC)\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 Australasian Universities Power Engineering Conference (AUPEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AUPEC.2017.8282380\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Australasian Universities Power Engineering Conference (AUPEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AUPEC.2017.8282380","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Impacts of network tariffs on distribution network power flows
In this paper, the impacts of different network tariffs on the consumption pattern of electricity consumers/prosumers and the resultant effects on the distribution network is evaluated. A home energy management system (HEMS) based mixed integer linear programming (MILP) model is developed for 39 customers connected to a low voltage (LV) residential feeder to analyse the impacts of demand and energy-based tariffs on network performance. Results show that tariffs with a peak-demand component perform better in terms of electricity cost reduction for the customer, as well as in reducing peak demand and line loading for networks with high PV-battery penetration levels.
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