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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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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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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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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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