{"title":"新型混沌模拟退火控制电压总谐波畸变","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":"{\"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}","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}
Control of Total Harmonic Distortion of Voltage with New Chaotic Simulated Annealing
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.