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改进粒子群算法及其在电力系统经济负荷分配中的应用改进粒子群算法及其在电力系统经济负荷分配中的应用-Improved Particle Swarm Optimization and its power system economic load dispatch of improved particle swarm optimization and economic dispatch in power system application
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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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基于改进粒子群算法的多目标最优潮流计算
基于改进粒子群算法的多目标最优潮流计算-Particle Swarm Optimization Based on Improved Multi-objective Optimal Power Flow
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The economic load dispatch plays an important role in the operation of power system,
and several models by using different techniques have been used to solve these problems.
Several traditional approaches, like lambda-iteration and gradient metho
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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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电力系统故障诊断的多智能体粒子群优化算法Power system fault diagnosis multi-agent particle swarm optimization-Power system fault diagnosis multi-agent particle swarm optimization
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改进的粒子群算法，计算电力系统经济调度问题-Improved particle swarm algorithm, computational power system economic dispatch
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蚁群算法应该到货物搬送问题中，同时也可应用于电力系统调度优化中-Ant colony algorithm to the cargo bay should be problems, can also be applied in power system scheduling optimization
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power system particle swarm optimization
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使用粒子群优化算法对电力系统最有潮流进行优化，比较不错的程序-Using particle swarm optimization algorithm for power system to optimize the power flow, relatively good program
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基于双适应度的粒子群算法，采用matlab编程，收敛效果好，可用于求解最优潮流等电力系统优化问题！-Based on the fitness of the two-particle swarm optimization using matlab programming, convergence effect, and can be used to solve power system optimization such as optimal power flow problem!
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基于粒子群算法的电力系统经济负荷分配研究-Based on particle swarm optimization of power system economic load allocation study
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扇形传感器区域覆盖优化的虚拟力导向粒子群算法-Fan-shaped area coverage sensor-driven power optimization of the virtual particle swarm optimization
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改进的粒子群算法可以用于计算无功优化问题-Improved particle swarm algorithm can be used for calculation of reactive power optimization problems
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免疫算法和粒子群算法结合后用于求解多目标无功优化-
Immune algorithm and particle swarm algorithm is used to solve with more reactive power optimization goal
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本程序用matlab编写，采用基本粒子群算法(PSO)来求解IEEE标准40节点电力负荷分配问题-This program iswritten in matlab, the basic particle swarm optimization (PSO) to solve the IEEE standard 40 node power load allocation problem
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采用粒子群算法PSO优化BP神经网络，进行风电功率预测，含实际数据和案例-Particle swarm optimization PSO BP neural network for wind power prediction, including the actual data and case
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标准14节点的无功优化，粒子群算法和多智能体粒子群算法的实现，需要放到matpowe里。-ieee14 nodes system reactive optimized to achieve PSO and Multi-Agent particle swarm algorithm, need to put matpower environment.
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这是一篇关于利用改进的粒子群优化算法来构造多层人工神经网络的文章，可用于预测风力和天气。-This is an article on the use of improved particle swarm optimization algorithm to construct a multilayer artificial neural network of the article, can be used to predict the wind and weather.
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optimal configuration of CHP and CCHP systems based on particle swarm optimization algorithm
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