S. Bahramara, P. Sheikhahmadi, M. Damavandi, M. Shafie‐khah, G. Osório, J. Catalão
{"title":"Strategic Behavior of a Distribution Company in the Wholesale Energy Market: A Risk-Based Stochastic Bi-Level Model","authors":"S. Bahramara, P. Sheikhahmadi, M. Damavandi, M. Shafie‐khah, G. Osório, J. Catalão","doi":"10.1109/EEEIC.2018.8493872","DOIUrl":null,"url":null,"abstract":"In active distribution grids (ADNs), a distribution corporation (Disco) can trade electricity with micro-grids (MGs) besides trading electricity with wholesale markets. Therefore, the operational flexibility of the Disco is increased so that it can play as a price-maker agent in electricity markets. To model the actions of Disco, a bi-level optimization method is developed where Disco problem is modeled at the upper-level problem, whereas the MGs problem together with the day-ahead market clearing procedure are modeled as the lower-level problems. To take the stochastic performance of green energy integration and loads into account, the Disco analysis is shown as two-stage stochastic problem, in which the Disco risk aversion is programmed considering the conditional value-at-risk tool. The subsequent non-linear bi-level approach is converted into a linear single-level approach through Karush-Kuhn-Tucker (KKT) conditions and dual theory. To validate the success of the proposed method, a 24-bus power system is used. Conclusions are duly drawn.","PeriodicalId":6563,"journal":{"name":"2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","volume":"7 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EEEIC.2018.8493872","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
In active distribution grids (ADNs), a distribution corporation (Disco) can trade electricity with micro-grids (MGs) besides trading electricity with wholesale markets. Therefore, the operational flexibility of the Disco is increased so that it can play as a price-maker agent in electricity markets. To model the actions of Disco, a bi-level optimization method is developed where Disco problem is modeled at the upper-level problem, whereas the MGs problem together with the day-ahead market clearing procedure are modeled as the lower-level problems. To take the stochastic performance of green energy integration and loads into account, the Disco analysis is shown as two-stage stochastic problem, in which the Disco risk aversion is programmed considering the conditional value-at-risk tool. The subsequent non-linear bi-level approach is converted into a linear single-level approach through Karush-Kuhn-Tucker (KKT) conditions and dual theory. To validate the success of the proposed method, a 24-bus power system is used. Conclusions are duly drawn.