S. M. Ezzati, H. M. Shourkaei, F. Faghihi, S. B. Mozafari, S. Soleymani
{"title":"Optimum Energy Hub Economic Dispatch using Chance Constrained Optimization","authors":"S. M. Ezzati, H. M. Shourkaei, F. Faghihi, S. B. Mozafari, S. Soleymani","doi":"10.1109/PSC49016.2019.9081564","DOIUrl":null,"url":null,"abstract":"This study presents the Chance-Constrained Optimization (CCO) model to solve the problem of Economic Dispatch (ED) and the optimal operation of the energy hub. This problem inherently has a nonlinear nature. To have a tractable model, the proposed model is linearized. Cost minimization is considered as objective function of the problem which is subjected to a suit of constraints. Different flexible elements such as energy storage devices and converters are also considered in the structure of the energy hub. The proposed model is tested on a sample energy hub for one year time horizon. Sensitivity analysis is performed based on the chance-constraint parameters. The results are thoroughly analyzed for the different structures of the energy hub. The results show that considering a well-tuned chance-constraint in the model has a direct impact on the final solution in a cost effective manner.","PeriodicalId":359817,"journal":{"name":"2019 International Power System Conference (PSC)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Power System Conference (PSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PSC49016.2019.9081564","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
This study presents the Chance-Constrained Optimization (CCO) model to solve the problem of Economic Dispatch (ED) and the optimal operation of the energy hub. This problem inherently has a nonlinear nature. To have a tractable model, the proposed model is linearized. Cost minimization is considered as objective function of the problem which is subjected to a suit of constraints. Different flexible elements such as energy storage devices and converters are also considered in the structure of the energy hub. The proposed model is tested on a sample energy hub for one year time horizon. Sensitivity analysis is performed based on the chance-constraint parameters. The results are thoroughly analyzed for the different structures of the energy hub. The results show that considering a well-tuned chance-constraint in the model has a direct impact on the final solution in a cost effective manner.