电子设计工程
電子設計工程
전자설계공정
ELECTRONIC DESIGN ENGINEERING
2015年
8期
129-131
,共3页
电力变压器%优化设计%遗传算法%自适应
電力變壓器%優化設計%遺傳算法%自適應
전력변압기%우화설계%유전산법%자괄응
power transformer%optimization design%genetic algorithm%automatically adaptive
在研究遗传算法的基础上，分析了传统遗传算法种群多样性、收敛效率降低和易求得局部最优解的问题，提出自适应遗传算法优化设计电力变压器。采用适应度值标定的遗传算法改进策略，防止特殊个体统治种群导致的寻优结果是局部最优解，在算法临近结束时，变更选择压力，防止算法在最优解附近摇摆，加快了寻优过程。仿真结果表明，改进后的遗传算法收敛速度快，并以S9-315/10型电力变压器为算例，优化方案的性能指标符合相关国标，总损耗降低0.8%，材料成本降低8.3%。
在研究遺傳算法的基礎上，分析瞭傳統遺傳算法種群多樣性、收斂效率降低和易求得跼部最優解的問題，提齣自適應遺傳算法優化設計電力變壓器。採用適應度值標定的遺傳算法改進策略，防止特殊箇體統治種群導緻的尋優結果是跼部最優解，在算法臨近結束時，變更選擇壓力，防止算法在最優解附近搖襬，加快瞭尋優過程。倣真結果錶明，改進後的遺傳算法收斂速度快，併以S9-315/10型電力變壓器為算例，優化方案的性能指標符閤相關國標，總損耗降低0.8%，材料成本降低8.3%。
재연구유전산법적기출상，분석료전통유전산법충군다양성、수렴효솔강저화역구득국부최우해적문제，제출자괄응유전산법우화설계전력변압기。채용괄응도치표정적유전산법개진책략，방지특수개체통치충군도치적심우결과시국부최우해，재산법림근결속시，변경선택압력，방지산법재최우해부근요파，가쾌료심우과정。방진결과표명，개진후적유전산법수렴속도쾌，병이S9-315/10형전력변압기위산례，우화방안적성능지표부합상관국표，총손모강저0.8%，재료성본강저8.3%。
Based on the research of genetic algorithm, the article analyzes the problems of traditional genetic algorithm, which are the population diversity small, and convergence efficiency low and easy to obtain the local optimal solution, puts forward the way to optimization design of a power transformer by automatically adaptive genetic algorithm. Uses the strategy with fitness value calibration to improve genetic algorithm, can prevent the special individual rule of species , which leads to the results be local optimal solutions, at the end of the algorithm approaches, changes the selection pressure, prevents algorithm swing near the optimal solution, and speeds up the optimization process. Simulation results show that the improved genetic algorithm convergence fast , and takes S9-315/10 type power transformers for example, the optimization performance index conforms to the relevant national standard, the total loss reduces 0.8%, the material costs reduce 8.3%.
