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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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本文介绍了混合粒子群算法在环境和经济调度方面的应用，并对粒子群算法做了进一步发展，对算法学习有一定帮助。-In this paper, hybrid particle swarm algorithm in the environment and the application of economic dispatch, particle swarm optimization and further development of the learning algorithm must help.
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the source code for particle swarm optimization algorithm is given in this file. the source code is for economic dispatch problem which is a power system problem.
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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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it has the source code for particle swarm optimization for economic load dispatch using PSO toolkit
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Particle Swarm Optimization Power point presentation for Economic Load Dispatch in Power Systems. Genetic Algorithm Lambda Iteration
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particle swarm optimization for solving economic dispatch problem
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presentation on Basics of Economic load dispatch using particle swarm optimization,presentation on Basics of Economic load dispatch using particle swarm optimization
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本文提出了一种新的混合模糊动态速度反馈的粒子群的优化(HFDVF-PSO）解决经济调度问题的非光滑的成本考虑阀点效应和多种燃料选择功能。-This paper proposes a new Hybrid Fuzzy Dynamic Velocity Feedback Particle Swarm Optimization (HFDVF-PSO) for solving conomic Dispatch (ED) problem with non-smooth cost functions con
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微电网多目标调度，运用改进的多目标粒子群算法进行计算，里面包含经济等三个目标函数设置-Microgrid multi-objective scheduling, using the improved multi-objective particle swarm optimization calculations, which contains the three economic objective function settings
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粒子群算法 多目标函数 电网经济调度
IEEE30-Particle swarm optimization objective function more economic dispatch IEEE30
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Particle Swarm Optimization for Solving Economic Load Dispatch Problem
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遗传-套粒子群算法用于解决经济调度问题。(Genetic set particle swarm optimization algorithm is used to solve the problem of economic dispatch.)
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IEEE 30 BUS SYSTEM Comparisons between stochastic and deterministic Unit
Commitment solutions are provided. The generation of Unit
Commitment solution is guaranteed by DEEPSO, which is a
hybrid DE-EA-PSO algorithm, where DE stands for Differential
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Comparisons between stochastic and deterministic Unit
Commitment solutions are provided. The generation of Unit
Commitment solution is guaranteed by DEEPSO, which is a
hybrid DE-EA-PSO algorithm, where DE stands for Differential
Evolution, EA for
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在微电网中综合考虑经济和环境两个目标，以各微源的运行上下限为约束条件，采用粒子群算法在matlab环境下进行了仿真，最后给出了微网各微源的最优机组组合方式和最佳电能交易计划。(The first establish micro multi-objective energy optimal operation model, taking into account both environmental and economic factors in the model, the operation
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A Modified Particle Swarm Optimization Technique for Economic Load Dispatch with Valve-Point Effect
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本程序为粒子群算法的源代码可应用于微电网的多目标经济优化调度(This program is the source code of particle swarm optimization algorithm and can be applied to multi-objective economic optimal dispatch of microgrid)
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