Application of Fuzzy Adaptive Genetic Algorithm in Reactive Power Compensation Optimization of Power Station

机译：模糊自适应遗传算法在电站无功补偿优化中的应用

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摘要

Power station reactive power compensation optimization model has been optimized based on fuzzy adaptive genetic algorithm. Through examples of computer simulation, the minimum compensation for reactive power compensation optimization of power station is searched effectively. The results show that it is accord with actual application, which indicates that it is feasible of adaptive genetic algorithm applying in agricultural engineering optimization design.

机译：基于模糊自适应遗传算法对电站无功补偿优化模型进行了优化。通过计算机仿真实例，有效地寻找了电站无功补偿优化的最小补偿量。结果表明，该算法与实际应用相吻合，表明自适应遗传算法在农业工程优化设计中的应用是可行的。

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《2011 International Symposium on Computer Science and Society》|2011年|p.214-217|共4页
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作者
Li Xiao;
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正文语种
中图分类计算技术、计算机技术;
关键词
Fuzzy adaptive genetic algorithm; Reactive power optimizationCOptimization design;

机译：模糊自适应遗传算法;无功优化; C优化设计;
入库时间 2022-08-26 15:09:29

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机译：遗传算法应用对电力系统无功优化的应用

Application of Fuzzy Adaptive Genetic Algorithm in Reactive Power Compensation Optimization of Power Station

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