{"title":"Control of Total Harmonic Distortion of Voltage with New Chaotic Simulated Annealing","authors":"S. Ghadami, M. Moghiman","doi":"10.1109/ICEE.2007.4287314","DOIUrl":null,"url":null,"abstract":"This paper proposes a method to control the total harmonic distortion of voltage (THDV) with a new simulated annealing algorithm. The non-linear relationship between voltage harmonics and the THDV is identified by using the revised group method of data handling (RGMDH) based on the self-organization technique. A new chaotic simulated annealing algorithm (NCSA) is applied to minimize the THDV. The SA algorithm accepts higher energy solutions with probability of min (1, exp (-DeltaE/T)). To evade time wasting exponential calculations, the proposed algorithm introduces a new acceptance criterion that uses a chaotic structure and allows efficient state transitions. Determination of the appropriate neighborhood range is a main concern in SA algorithm. Therefore, in order to search the neighborhood sufficiently and efficiently, a different approach has been taken toward the neighbor selection process combining chaotic maps and Gaussian distribution. The effectiveness of the proposed method is demonstrated by test data.","PeriodicalId":291800,"journal":{"name":"2007 International Conference on Electrical Engineering","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 International Conference on Electrical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEE.2007.4287314","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper proposes a method to control the total harmonic distortion of voltage (THDV) with a new simulated annealing algorithm. The non-linear relationship between voltage harmonics and the THDV is identified by using the revised group method of data handling (RGMDH) based on the self-organization technique. A new chaotic simulated annealing algorithm (NCSA) is applied to minimize the THDV. The SA algorithm accepts higher energy solutions with probability of min (1, exp (-DeltaE/T)). To evade time wasting exponential calculations, the proposed algorithm introduces a new acceptance criterion that uses a chaotic structure and allows efficient state transitions. Determination of the appropriate neighborhood range is a main concern in SA algorithm. Therefore, in order to search the neighborhood sufficiently and efficiently, a different approach has been taken toward the neighbor selection process combining chaotic maps and Gaussian distribution. The effectiveness of the proposed method is demonstrated by test data.