Modified Genetic Algorithm in Power System Application

机译：电力系统应用中修改的遗传算法

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Reactive power optimization is an effective method for improving the electricity quality and reducing the power loss in power system. Reactive power optimization is a higher dimensional, nonlinear and complicated optimizing problem, in which continuous and discrete variables coexist. This article presents "cataclysmic GA", combining the "Roulette Wheel" and "Tournament". Self-adaptive adjusting operators in GA based on the number of iterate and performance of units, speeds up the con-vengeance. The IEEE6 power system, are taken in optimization.

机译：无功功率优化是改善电力质量并降低电力系统电力损耗的有效方法。无功功率优化是一种更高的尺寸，非线性和复杂的优化问题，其中连续和离散变量共存。本文介绍了“灾难性的GA”，组合“轮盘赌”和“锦标赛”。根据单位的迭代和性能的数量，自适应调整操作员在GA的次数，加快CON-Vengeance。 IEEE6电力系统是在优化中进行的。

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来源
《International Conference on Information and Computing》|2010年||共4页
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作者
Xu ZHUANG;
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原文格式 PDF
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中图分类 G20-53;
关键词
Reactive power optimization; Generic algorithm; Self-adaptive;

机译：无功功率优化;泛型算法;自适应;

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4. Modified Genetic Algorithm in Power System Application [C] . Xu ZHUANG International Conference on Information and Computing . 2010

机译：电力系统应用中修改的遗传算法
5. Genetic Algorithms in Stochastic Optimization and Applications in Power Electronics. [D] . Liu, Mengmei. 2016

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7. The Approach of Genetic Algorithms Application on Reactive Power Optimization of Electric Power Systems [O] . RuiJin Zhu 2018

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8. Investigation on Application of Genetic Algorithms to Optimal Reactive PowerDispatch of Power Systems [R] . Wu, Q. H., Ma, J. T. 1993

机译：遗传算法在电力系统最优无功功率调度中的应用研究

Modified Genetic Algorithm in Power System Application

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