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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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老外写的PSO用与电力优化的,主要是降低燃料消耗,PSO written by foreigners and power optimization, mainly to reduce fuel consumption
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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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利用粒子位置和速度的改变更新,在熟悉多目标粒子群算法的基础上利用测试函数对该算法进行仿真,并对仿真结果进行优化。-The particle position and velocity changes update in the familiar multi-objective particle swarm optimization based on the use of test functions to simulate the algorithm, and the optimization
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潮流计算在电力无功优化中的应用,基于MATLAB环境的编程,有详细说明和源代码。-In the power flow calculation of reactive power optimization, based on the MATLAB programming environment, there is a detailed descr iption and source code.
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Mimo minimum power optimization
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一篇关于无功优化的优秀硕士论文,请用CAJViewer打开,供参考-A reactive power optimization on the outstanding master' s thesis, please use CAJViewer open for reference
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reactive power optimization+genetic algorithm
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运用MATLAB优化工具箱对某电网进行无功优化-MATLAB optimization toolbox using a grid for reactive power optimization
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用粒子群算法进行无功优化,比较实用,希望对大家有帮助,14节点的,-Particle swarm algorithm with reactive power optimization, more practical, we want to help, 14 nodes,
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一、 牛顿-拉夫逊法概要
首先对一般的牛顿-拉夫逊法作一简单说明。已知一个变量X的函数
(4-6)
解此方程式时,由适当的近似值X(0)出发,根据 (4-7)
反复进行计算,当X(n)满足适当的收敛判定条件时就是(4-6)式的根。这样的方法就是所谓的牛顿-拉夫逊法。
式(4-7)就是取第n次近似解X(n)在曲线 上的点 处的切线与X轴的交点作下一次X(n+1)值的方法。参考图4-2(a)。在这一方法中为了能收敛于真解,初值X(0)的选取及函数f(X)必须满足适当的条件,如
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利用线性规划法编写的MATLAB程序,用于电力系统无功优化,用于学习交流-Prepared by using linear programming MATLAB program for power system reactive power optimization for the Learning Exchange
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采用基于量子粒子群算法来计算电力系统无功优化-Based on the quantum particle swarm algorithm to compute reactive power optimization
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无功优化论文,十几篇关于无功优化的论文,有很大 参考价值。无功优化论文,十几篇关于无功优化的论文,有很大 参考价值-Reactive power optimization papers, more than a dozen papers on the reactive power optimization, there is a great reference value. Reactive power optimization papers, more than a dozen papers
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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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内点法进行电力系统无功优化,不是用工具箱编的,毕业论文,非常详细-Interior Point Method for Power System Reactive Power Optimization
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电力系统无功优化对确保电力系统优化运行具有重要作用,它直接关系到电力系统运行的安全性与经济性。在已有研究成果的基础上,提出了单目标/多目标的导向搜索算法与单目标/多目标的动态多群体自适应差分进化算法,对电力系统静态单目标无功优化、静态多目标无功优化、动态单目标无功优化、动态多目标无功优化、典型函数优化等问题进行了深入的研究和探讨。-Reactive power optimization to ensure the optimal operation of the power system pla
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REACTIVE POWER OPTIMIZATION WITH SVC & TCSC USING GENETIC ALGORITHM
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建立了基于模型预测控制的配电网多时间尺度无功优化模型,包含日前优化调节层和实时滚动调控层。日前优化侧重于运行经济性,协调配合不同类型无功设备进行大尺度无功调节,并预留充足动态无功储备响应动态调控,降低运行风险;实时滚动调控侧重于系统运行可靠性。(A multi-time scale reactive power optimization model for distribution network based on model predictive control is established,
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