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一种确定多目标无功规划补偿点的方法，具有实用性。-A goal to identify many points of reactive power compensation planning method is practical.
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无功优化IEEE论文With the increased loading of existing power system, the problem of voltage stability
and voltage collapse has become a major concern in power system planning and operation. The
dependence of the system voltage profile on reactive power
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优秀论论及对应源码。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。因此，电力系统配电网无功优化规划问题的研究，既具有理论意义，又具有工程实际应用价值。配电系统最优规划问题是一个复杂的非线性组合优化问题，至今未得到很好的解决。Tabu搜索(TS—Tabu search)算法是近年来出现的用于求解组合优化问题的一种高效的启发式搜索技术。本文采用固定并联电容器作为研究对象对系统进行无功补偿，并利用智能优化方法得到使配电网损耗降低最大对应的最优
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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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基于禁忌搜索算法的配电网无功补偿优化规划 能够降低网损
-Planning power distribution grid based on Tabu Search Algorithm for Optimal Reactive Power Compensation
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基于禁忌搜索算法的配电网无功补偿优化规划的 禁忌搜索部分-Optimize the planning of reactive power compensation based on the tabu search algorithm with tabu search part
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基于禁忌搜索算法的配电网无功补偿优化规划的潮流计算部分-Partially based on the trend of Tabu Search Algorithm with Reactive Power Compensation Optimal Planning
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基于禁忌搜索算法的配电网无功补偿优化规划8点算例-Optimal Planning 8:00 example based on Tabu Search Algorithm for Reactive Power Compensation
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Power flow studies, commonly known as load flow, form an important part of power system
analysis. They are necessary for planning, economic scheduling and control of an existing system as
well as planning its future expansion. The problem consist
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A multiobjective approach for reactive power planning in networks with wind
power generation
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用MATLAB编写的遗传算法路径规划，esprit算法对有干扰的信号频率进行估计,遗传算法无功优化。- Genetic algorithms using MATLAB path planning, esprit algorithm signal frequency interference can be assessed Genetic algorithm based reactive power optimization.
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用MATLAB编写的遗传算法路径规划，解耦，恢复原信号，遗传算法无功优化。- Genetic algorithms using MATLAB path planning, Decoupling, restore the original signal, Genetic algorithm based reactive power optimization.
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遗传算法无功优化，是路径规划的实用方法，微分方程组数值解方法。- Genetic algorithm based reactive power optimization, Is a practical method of path planning, Numerical solution of differential equations method.
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遗传算法无功优化，ML法能够很好的估计信号的信噪比,用MATLAB编写的遗传算法路径规划。- Genetic algorithm based reactive power optimization, ML estimation method can be a good signal to noise ratio, Genetic algorithms using MATLAB path planning.
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是路径规划的实用方法，基于掌纹识别的在线身份验证 识别算法本科毕设，遗传算法无功优化。- Is a practical method of path planning, Verify recognition algorithm based on palmprint recognition undergraduate complete set of online identity, Genetic algorithm based reactive power optimization.
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Genetic algorithm based reactive power optimization, Power System Transient Stability Program, can be transient stability, Is a practical method of path planning.
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Genetic algorithm based reactive power optimization, Iterative self-organizing data analysis, Is a practical method of path planning.
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Fuzzy-TLBO optimal reactive power control variables planning
for energy loss minimization
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