改進遺傳算法在干式電力變壓器優(yōu)化設(shè)計中的應(yīng)用
韓能霞
甘肅電力變壓器廠，甘肅 蘭州 730046
摘 要：介紹了遺傳算法的基本原理及算法步驟，對其編碼與解碼方案、約束條件的處理、搜索速度、全局尋優(yōu)等進行了改造，使新群體的整體素質(zhì)更好，加快了尋優(yōu)過程。采用改進的遺傳算法對干式變壓器的電磁計算設(shè)計進行了優(yōu)化，并應(yīng)用于SGB-800/10 干式電力變壓器的單目標和雙目標的優(yōu)化設(shè)計。通過實例參數(shù)對比分析，表明該算法切實可行，優(yōu)化效果較好。
關(guān)鍵詞：干式變壓器；改進的遺傳算法；優(yōu)化設(shè)計
中圖分類號：TM412 文獻標識碼：B 文章編號：1007-3175(2014)06-0040-03
Application of Improved Genetic Algorithm in Optimization Design of Dry Type Power Transformer
HAN Neng-xia
Gansu Power Transformer Factory, Lanzhou 730046, China
Abstract: Introduction was made to the basic principle and algorithm steps of genetic algorithm. This paper rebuilt its coding and decoding plans, restricting conditions’ treatment, searching speed and global optimization etc., so as to enable new mass body’s quality better and to quicken the optimization process. The improved genetic algorithm was adopted to carry out optimization for electromagnetic calculation design of dry type power transformer, applied in the single goal and dual goal optimization design for SGB-800/10 dry type power transformer. The actual example parameters comparison and analysis show that the algorithm is actually feasible with better optimization effect.
Key words: dry type transformer; improved genetic algorithm; optimization design
參考文獻
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