S. M. Mohammadi H.N., S. Heydari, Hamed Mirsaeedi, A. Fereidunian, A. Kian
{"title":"Optimally operating microgrids in the presence of electric vehicles and renewable energy resources","authors":"S. M. Mohammadi H.N., S. Heydari, Hamed Mirsaeedi, A. Fereidunian, A. Kian","doi":"10.1109/SGC.2015.7857392","DOIUrl":null,"url":null,"abstract":"In modern electric power grids, microgrids are utilized in order to improve electric power grids' technical, economical, and environmental performance. In other words, both operator and consumers benefit the gained improvements by microgrids. However, operators confront certain ordeals to plan and operate the specific microgrid. In this paper, Combined Heat and Power (CHP) units, renewable energy resources, auxiliary thermal units and Electric Vehicles (EVs) are taken into consideration as a specific microgrid in California in the United States. Also, stochastic price of gas and electricity is taken into account. Moreover, uncertainty of the output power associated with non-dispatchable units like wind power plants as well as stochastic availability of the EVs adds to the complexity of the problem. The proposed approach plans to minimize total cost associated with the utilities as well as to minimize released emissions into the environment. Hence, the mentioned problem is a Multi-objective Linear Programming (MIP) which is solved using GAMS software. Finally, it has been showed that obtained solution is robust against uncertain parameters since there is just insignificant difference between solutions under this condition compared to condition that stochastic parameters are not modeled.","PeriodicalId":117785,"journal":{"name":"2015 Smart Grid Conference (SGC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 Smart Grid Conference (SGC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SGC.2015.7857392","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
In modern electric power grids, microgrids are utilized in order to improve electric power grids' technical, economical, and environmental performance. In other words, both operator and consumers benefit the gained improvements by microgrids. However, operators confront certain ordeals to plan and operate the specific microgrid. In this paper, Combined Heat and Power (CHP) units, renewable energy resources, auxiliary thermal units and Electric Vehicles (EVs) are taken into consideration as a specific microgrid in California in the United States. Also, stochastic price of gas and electricity is taken into account. Moreover, uncertainty of the output power associated with non-dispatchable units like wind power plants as well as stochastic availability of the EVs adds to the complexity of the problem. The proposed approach plans to minimize total cost associated with the utilities as well as to minimize released emissions into the environment. Hence, the mentioned problem is a Multi-objective Linear Programming (MIP) which is solved using GAMS software. Finally, it has been showed that obtained solution is robust against uncertain parameters since there is just insignificant difference between solutions under this condition compared to condition that stochastic parameters are not modeled.
在现代电网中,微电网的应用是为了提高电网的技术、经济和环境性能。换句话说,运营商和消费者都受益于微电网的改进。然而,运营商在规划和运营特定的微电网时面临着一定的考验。本文将热电联产(Combined Heat and Power, CHP)机组、可再生能源、辅助热电机组和电动汽车作为美国加州具体的微电网进行考虑。同时考虑了燃气和电力的随机价格。此外,风力发电厂等非可调度机组的输出功率的不确定性以及电动汽车的随机可用性增加了问题的复杂性。拟议的方法计划将与公用事业相关的总成本降到最低,并将排放到环境中的排放物降到最低。因此,上述问题是一个多目标线性规划(MIP)问题,使用GAMS软件进行求解。最后,证明了所得到的解对不确定参数具有鲁棒性,因为在此条件下的解与未建模随机参数的解之间的差异不显著。