{"title":"Modified Benders Decomposition for Simultaneous Provision of Energy and Primary Reserve","authors":"Mahdi Rouholamini, Caisheng Wang","doi":"10.1109/IAS54023.2022.9939990","DOIUrl":null,"url":null,"abstract":"Successful primary frequency regulation is vital for power systems to survive generation outage contingencies. Thus, this paper goes over concurrent scheduling of energy and primary frequency control reserves in the shape of a Mixed Integer Linear Programming model. The problem is formulated based on the fact that primary reserves share a single common degree of freedom through their local droop characteristics. We modify and utilize the Benders Decomposition (BD) algorithm to solve the model. A few techniques are introduced to reduce the search space of the Benders master problem. Furthermore, a new method is introduced to generate the BD's feasibility cuts. Finally, numeric results are presented and discussed to verify the proposed methodology.","PeriodicalId":193587,"journal":{"name":"2022 IEEE Industry Applications Society Annual Meeting (IAS)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE Industry Applications Society Annual Meeting (IAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAS54023.2022.9939990","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Successful primary frequency regulation is vital for power systems to survive generation outage contingencies. Thus, this paper goes over concurrent scheduling of energy and primary frequency control reserves in the shape of a Mixed Integer Linear Programming model. The problem is formulated based on the fact that primary reserves share a single common degree of freedom through their local droop characteristics. We modify and utilize the Benders Decomposition (BD) algorithm to solve the model. A few techniques are introduced to reduce the search space of the Benders master problem. Furthermore, a new method is introduced to generate the BD's feasibility cuts. Finally, numeric results are presented and discussed to verify the proposed methodology.