O. Linkevičs, A. Mahņitko, Karina Mjadjuta, M. Balodis
{"title":"Modelling of wind, hydroelectric and thermal power plant coordinated dispatch in Latvian power system","authors":"O. Linkevičs, A. Mahņitko, Karina Mjadjuta, M. Balodis","doi":"10.1109/RTUCON.2014.6998218","DOIUrl":null,"url":null,"abstract":"Liberalization and restructuring of power sector changes the task of power system control substantially. Efficient control of operating regimes becomes especially important in competitive markets. This paper provides a formulation of optimal control task, describes a simplified model for simulation of four different energy sources, consider a solution for optimization task in the numerical example and evaluates the impact of key parameters for selection of optimal regime. For determination of optimal solution, the following methods of mathematical programming are applied: dynamic programming - for efficient use of hydroelectric resources, linear programming - for optimization of other power plants and import. Utilization of mentioned methods guarantees the acquisition of global optimum.","PeriodicalId":259790,"journal":{"name":"2014 55th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)","volume":"125 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 55th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RTUCON.2014.6998218","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Liberalization and restructuring of power sector changes the task of power system control substantially. Efficient control of operating regimes becomes especially important in competitive markets. This paper provides a formulation of optimal control task, describes a simplified model for simulation of four different energy sources, consider a solution for optimization task in the numerical example and evaluates the impact of key parameters for selection of optimal regime. For determination of optimal solution, the following methods of mathematical programming are applied: dynamic programming - for efficient use of hydroelectric resources, linear programming - for optimization of other power plants and import. Utilization of mentioned methods guarantees the acquisition of global optimum.