Yanglin Zhou, Feng Gao, S. Ci, Yang Yang, Yuemei Xu
{"title":"零售电力市场的分时电价:阶梯电价与基于使用的电价方案","authors":"Yanglin Zhou, Feng Gao, S. Ci, Yang Yang, Yuemei Xu","doi":"10.1109/PMAPS.2016.7764129","DOIUrl":null,"url":null,"abstract":"With the advances of Advanced Metering Infrastructure (AMI), it is possible for power customer and utility company to adjust their consumption behaviors or schemes in order to achieve higher profits in retail electricity market. Recently, relevant research emerges from demand side management (DSM) view. Time dependent pricing has been proposed as a DSM method to influence user demands. Initial investigations have shown its advantages over the conventional time independent pricing. Nevertheless, much is unknown in how a practical and effective time dependent pricing scheme can be designed. In this paper, we combine game-theoretic approach and probabilistic analysis methods to explore the design space of time dependent pricing. In particularly, we focus on usage-based and step tariff schemes. Our findings include: step tariff scheme improves capacity utilization during high demand period and can earn higher users' surplus than that in usage-based scheme all the time.","PeriodicalId":265474,"journal":{"name":"2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Time-of-use pricing in retail electricity market: Step tariff vs. usage-based schemes\",\"authors\":\"Yanglin Zhou, Feng Gao, S. Ci, Yang Yang, Yuemei Xu\",\"doi\":\"10.1109/PMAPS.2016.7764129\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the advances of Advanced Metering Infrastructure (AMI), it is possible for power customer and utility company to adjust their consumption behaviors or schemes in order to achieve higher profits in retail electricity market. Recently, relevant research emerges from demand side management (DSM) view. Time dependent pricing has been proposed as a DSM method to influence user demands. Initial investigations have shown its advantages over the conventional time independent pricing. Nevertheless, much is unknown in how a practical and effective time dependent pricing scheme can be designed. In this paper, we combine game-theoretic approach and probabilistic analysis methods to explore the design space of time dependent pricing. In particularly, we focus on usage-based and step tariff schemes. Our findings include: step tariff scheme improves capacity utilization during high demand period and can earn higher users' surplus than that in usage-based scheme all the time.\",\"PeriodicalId\":265474,\"journal\":{\"name\":\"2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PMAPS.2016.7764129\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PMAPS.2016.7764129","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Time-of-use pricing in retail electricity market: Step tariff vs. usage-based schemes
With the advances of Advanced Metering Infrastructure (AMI), it is possible for power customer and utility company to adjust their consumption behaviors or schemes in order to achieve higher profits in retail electricity market. Recently, relevant research emerges from demand side management (DSM) view. Time dependent pricing has been proposed as a DSM method to influence user demands. Initial investigations have shown its advantages over the conventional time independent pricing. Nevertheless, much is unknown in how a practical and effective time dependent pricing scheme can be designed. In this paper, we combine game-theoretic approach and probabilistic analysis methods to explore the design space of time dependent pricing. In particularly, we focus on usage-based and step tariff schemes. Our findings include: step tariff scheme improves capacity utilization during high demand period and can earn higher users' surplus than that in usage-based scheme all the time.