V. K. Jadoun, M. K. Shah, Vipin Chandra Pandey, N. Gupta, K. R. Niazi, A. Swarnkar
{"title":"Multi-Area Dynamic Economic Dispatch Problem with Multiple Fuels Using Improved Fireworks Algorithm","authors":"V. K. Jadoun, M. K. Shah, Vipin Chandra Pandey, N. Gupta, K. R. Niazi, A. Swarnkar","doi":"10.18178/IJOEE.4.4.204-208","DOIUrl":null,"url":null,"abstract":"This paper presents an Improved Fireworks Algorithm (IFWA) to solve Multi Area Dynamic Economic Dispatch (MADED) problem with the consideration of multiple fuels and other practical constraints. The objective of MADED problem is to determine the optimal value of power generation and interchange of power through tielines interconnecting areas in such a way that total fuel cost of thermal generating units of all the areas is minimized with predicted load demands over a certain period of time while satisfying several operational constraints. This paper attempts to overcome the drawbacks of some existing FWA methods and presents an Improved Fireworks Algorithm (IFWA) method by suggesting Limiting Mapping Operator (LMO), and Adaptive Dimension Selection Operator (ADSO). The effectiveness of the proposed method has been tested on three areas, 10 generators test system. The application results show that IFWA is very promising to solve MADED problem. ","PeriodicalId":13951,"journal":{"name":"International Journal of Electrical Energy","volume":"53 1","pages":"204-208"},"PeriodicalIF":0.0000,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Electrical Energy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18178/IJOEE.4.4.204-208","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
This paper presents an Improved Fireworks Algorithm (IFWA) to solve Multi Area Dynamic Economic Dispatch (MADED) problem with the consideration of multiple fuels and other practical constraints. The objective of MADED problem is to determine the optimal value of power generation and interchange of power through tielines interconnecting areas in such a way that total fuel cost of thermal generating units of all the areas is minimized with predicted load demands over a certain period of time while satisfying several operational constraints. This paper attempts to overcome the drawbacks of some existing FWA methods and presents an Improved Fireworks Algorithm (IFWA) method by suggesting Limiting Mapping Operator (LMO), and Adaptive Dimension Selection Operator (ADSO). The effectiveness of the proposed method has been tested on three areas, 10 generators test system. The application results show that IFWA is very promising to solve MADED problem.