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基于遗传算法的电力系统无功优化程序，可以帮您更好的进行电力系统的优化，使用标准的MATLAB程序-based on genetic algorithm reactive power optimization program that can help you better electrical system optimization, the use of standard MATLAB
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一种改进遗传算法,用于电力系统无功优化,已经编译通过-an improved genetic algorithm for reactive power optimization, has been compiled by
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基于遗传算法的电力系统无功优化程序，可以帮您更好的进行电力系统的优化，使用标准的MATLAB程序-,based on genetic algorithm reactive power optimization program that can help you better electrical system optimization, the use of standard MATLAB
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为大家提供方便，遗传算法电力系统无功优化-genetic algorithm reactive power optimization program
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无功功率优化配置计算程序研发,介绍遗传算法计算无功和潮流的-Reactive power optimization computer program developed
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改进基本DE算法 电力系统无功优化 风电场 ，对比例因子和缩放因子进行改进，重叠改进，应用与含风电场无功优化。-Improvement of basic DE algorithm to optimize reactive power wind farm, the scale factor and scaling factor to improve, overlapping improvements, applications, and with the wind farm reactive po
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求解电力系统无功优化的改进遗传算法程序，程序效率高，推荐-Solving reactive power optimization of improved genetic algorithm
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用遗传算法解决无功优化问题的MATLAB源程序-Using genetic algorithms to solve reactive power optimization MATLAB source
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小生境自适应遗传算法解决无功优化问题的MATLAB源程序-Adaptive niche genetic algorithm to solve the problem of reactive power optimization MATLAB source
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粒子群算法在电网无功优化中的应用，使用多是基本粒子群算法，牛顿法进行潮流计算部分-Reactive Power Optimization
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程序为改进的遗传算法对配电网无功优化补偿问题。电力系统配电网的无功优化规划是保证配电网安全、经济运行的一项有效手段，是降低网损、提高电压质量的重要措施。-Reactive power optimization is one of the most important control methods to ensure power system operation securely and economically,and an effective measure to improve the v
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基于人工智能算法的电力系统无功优化，此文介绍了改进免疫型人工智能算法-Reactive power optimization
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用遗传算法进行无功优化，IEEE33节点实例-Reactive power optimization using genetic algorithm, the the IEEE33 nodes instance
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用遗传算法进行无功优化，IEEE33节点实例-Reactive power optimization using genetic algorithm, the the IEEE33 nodes instance
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遗传算法无功优化，21节点实例计算，可以运行-Reactive power optimization using genetic algorithm, the the 21 nodes instance
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用遗传算法进行无功优化，12节点实例，直接运行-Reactive power optimization using genetic algorithm, the the 12 nodes instance
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基于C++的电力系统系统遗传算法无功优化程序.-The genetic algorithm-based C++ the power system reactive power optimization program.
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电力系统无功优化算法，matlab程序代码，调试通过。-Reactive power optimization algorithm code, debugging through
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使用量子粒子群算法进行无功优化，比粒子群算法更加优越。-Using quantum particle swarm optimization algorithm for reactive power optimization, more superior than particle swarm algorithm.
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基于遗传算法的IEEE30节点无功优化程序，针对电网的电压损耗作为目标函数进行了优化，优化的目标是使得网损达到最小值。-IEEE30 node reactive power optimization based on genetic algorithm, in view of the grid voltage loss as objective function is optimized, the goal of optimization is to achieve minimum networ
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