{"title":"可再生能源利用受限的微电网优化能源管理","authors":"H. T. Nguyen, L. Le","doi":"10.1109/SmartGridComm.2014.7007635","DOIUrl":null,"url":null,"abstract":"In this paper, we consider the energy management for a building microgrid considering a probabilistic constraint on the renewable energy utilization. Facilitated by the microgrid technology with integrated renewable energy resources, we assume that the building microgrid can participate in the electricity market to efficiently utilize the renewable energy and reduce electricity cost. In this paper, we develop an optimal energy management framework for the building microgrid considering various building loads, renewable energy, storage facility, and a natural gas combined heat and power (CHP) system. In addition, we employ the chance constrained and two-stage stochastic programming approach in our design to ensure efficient utilization of the renewable energy and to capture various system uncertainties. The proposed solution addresses the risk that available renewable energy may not be fully utilized due to its intermittent nature. Extensive numerical results are presented to illustrate the effectiveness of our proposed design.","PeriodicalId":6499,"journal":{"name":"2014 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"7 1","pages":"133-138"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"Optimal energy management for building microgrid with constrained renewable energy utilization\",\"authors\":\"H. T. Nguyen, L. Le\",\"doi\":\"10.1109/SmartGridComm.2014.7007635\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we consider the energy management for a building microgrid considering a probabilistic constraint on the renewable energy utilization. Facilitated by the microgrid technology with integrated renewable energy resources, we assume that the building microgrid can participate in the electricity market to efficiently utilize the renewable energy and reduce electricity cost. In this paper, we develop an optimal energy management framework for the building microgrid considering various building loads, renewable energy, storage facility, and a natural gas combined heat and power (CHP) system. In addition, we employ the chance constrained and two-stage stochastic programming approach in our design to ensure efficient utilization of the renewable energy and to capture various system uncertainties. The proposed solution addresses the risk that available renewable energy may not be fully utilized due to its intermittent nature. Extensive numerical results are presented to illustrate the effectiveness of our proposed design.\",\"PeriodicalId\":6499,\"journal\":{\"name\":\"2014 IEEE International Conference on Smart Grid Communications (SmartGridComm)\",\"volume\":\"7 1\",\"pages\":\"133-138\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE International Conference on Smart Grid Communications (SmartGridComm)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SmartGridComm.2014.7007635\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Conference on Smart Grid Communications (SmartGridComm)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SmartGridComm.2014.7007635","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal energy management for building microgrid with constrained renewable energy utilization
In this paper, we consider the energy management for a building microgrid considering a probabilistic constraint on the renewable energy utilization. Facilitated by the microgrid technology with integrated renewable energy resources, we assume that the building microgrid can participate in the electricity market to efficiently utilize the renewable energy and reduce electricity cost. In this paper, we develop an optimal energy management framework for the building microgrid considering various building loads, renewable energy, storage facility, and a natural gas combined heat and power (CHP) system. In addition, we employ the chance constrained and two-stage stochastic programming approach in our design to ensure efficient utilization of the renewable energy and to capture various system uncertainties. The proposed solution addresses the risk that available renewable energy may not be fully utilized due to its intermittent nature. Extensive numerical results are presented to illustrate the effectiveness of our proposed design.