{"title":"考虑需求响应的商业建筑ESS最优调度","authors":"Yunsun Jin, Minsu Park, Dongjun Won","doi":"10.1109/IYCE45807.2019.8991566","DOIUrl":null,"url":null,"abstract":"The need for ESS is emphasized in order to efficiently manage the demand of industrial customers, which occupies a large portion of the total power consumption. Conventional industrial customers installed ESS to reduce electric power charges through self-load management. However, industrial customers with ESS can gain additional revenue through market participation in addition to their own load management as energy new businesses expand. In this paper the 24-hour optimal scheduling algorithm of Energy Storage System(ESS) considering Demand Response(DR) to minimize the electricity charge for industrial customers. Two-stage scheduling proposes for the minimization of the electricity charge. As a result, ESS output power is scheduled to minimize the total daily costs. And, it is configured to reschedule in response to a demand response signal at a specific time. The simulation results show that the proposed scheduling increases the benefits of ESS installation by successfully participating in the DR market.","PeriodicalId":226881,"journal":{"name":"2019 7th International Youth Conference on Energy (IYCE)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"ESS Optimal Scheduling considering Demand Response For commercial Buildings\",\"authors\":\"Yunsun Jin, Minsu Park, Dongjun Won\",\"doi\":\"10.1109/IYCE45807.2019.8991566\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The need for ESS is emphasized in order to efficiently manage the demand of industrial customers, which occupies a large portion of the total power consumption. Conventional industrial customers installed ESS to reduce electric power charges through self-load management. However, industrial customers with ESS can gain additional revenue through market participation in addition to their own load management as energy new businesses expand. In this paper the 24-hour optimal scheduling algorithm of Energy Storage System(ESS) considering Demand Response(DR) to minimize the electricity charge for industrial customers. Two-stage scheduling proposes for the minimization of the electricity charge. As a result, ESS output power is scheduled to minimize the total daily costs. And, it is configured to reschedule in response to a demand response signal at a specific time. The simulation results show that the proposed scheduling increases the benefits of ESS installation by successfully participating in the DR market.\",\"PeriodicalId\":226881,\"journal\":{\"name\":\"2019 7th International Youth Conference on Energy (IYCE)\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 7th International Youth Conference on Energy (IYCE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IYCE45807.2019.8991566\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 7th International Youth Conference on Energy (IYCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IYCE45807.2019.8991566","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
ESS Optimal Scheduling considering Demand Response For commercial Buildings
The need for ESS is emphasized in order to efficiently manage the demand of industrial customers, which occupies a large portion of the total power consumption. Conventional industrial customers installed ESS to reduce electric power charges through self-load management. However, industrial customers with ESS can gain additional revenue through market participation in addition to their own load management as energy new businesses expand. In this paper the 24-hour optimal scheduling algorithm of Energy Storage System(ESS) considering Demand Response(DR) to minimize the electricity charge for industrial customers. Two-stage scheduling proposes for the minimization of the electricity charge. As a result, ESS output power is scheduled to minimize the total daily costs. And, it is configured to reschedule in response to a demand response signal at a specific time. The simulation results show that the proposed scheduling increases the benefits of ESS installation by successfully participating in the DR market.