Description: 基于matlab的基本粒子群优化算法，可应用与最优潮流计算等-Matlab-based optimization of the particle swarm algorithm can be applied with optimal power flow calculation Platform: |
Size: 2048 |
Author:milan |
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Description: 在电力系统中，用matlab源代码编写的基于pso算法优化程序-In power system using matlab source code prepared by the procedure based on PSO algorithm to optimize Platform: |
Size: 63488 |
Author:zoe |
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Description: 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. Platform: |
Size: 12288 |
Author:sathish |
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Description: 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 Platform: |
Size: 1999872 |
Author:余开江 |
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Description: matlabb标准粒子群优化算法。
电力系统的分析和计算中，需要不同网络结构和参数。在应
用这些参数之前，收集和整理工作会花费大量的时间和精力。-matlabb standard particle swarm optimization. Power system analysis and calculation, require different network structures and parameters. Before applying these parameters, the collection and collation will spend a lot of time and effort. Platform: |
Size: 5120 |
Author:liulei |
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Description: 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, Platform: |
Size: 5120 |
Author:王鹏 |
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Description: 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 method are utilized to find out
the optimal solution of non-linear problem. More recently, the soft computing techniques have
received more attention and were used in a number of successful and practical applications. The
purpose of this work is to find out the advantages of application of the evolutionary computing
technique and Particle Swarm Optimization (PSO) in particular to the economic load dispatch
problem. Here, an attempt has been made to find out the minimum cost by using PSO using the
data of three and six generating units Platform: |
Size: 542720 |
Author:amijeet |
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Description: 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 of simulation results. Platform: |
Size: 223232 |
Author:durongmao |
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Description: 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 Platform: |
Size: 6144 |
Author:陈俊峰 |
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Description: 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 Platform: |
Size: 2048 |
Author:dj |
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Description: 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! Platform: |
Size: 1024 |
Author:dgd |
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Description: 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 Platform: |
Size: 11264 |
Author:Victoria |
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Description: 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. Platform: |
Size: 8192 |
Author:阿呆的兔兔 |
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Description: 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. Platform: |
Size: 1024000 |
Author:棉花糖 |
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Description: Improved Particle Swarm Optimization Based
Load Frequency Control In
A Single Area Power System Platform: |
Size: 305152 |
Author:hassan |
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Description: A combination of genetic algorithm and particle swarm optimization for optimal
DG location and sizing in distribution systems
Distributed generation (DG) sources are becoming more prominent in distribution systems due to the
incremental demands for electrical energy. Locations and capacities of DG sources have profoundly
impacted on the system losses in a distribution network. In this paper, a novel combined genetic algorithm
(GA)/particle swarm optimization (PSO) is presented for optimal location and sizing of DG on distribution
systems. The objective is to minimize network power losses, better voltage regulation and
improve the voltage stability within the frame-work of system operation and security constraints in
radial distribution systems. A detailed performance analysis is carried out on 33 and 69 bus systems
to demonstrate the effectiveness of the proposed methodology. Platform: |
Size: 534528 |
Author:fifo_enp |
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Description: Maximum Power Point Tracking for PV System
under Partial Shading Condition via Particle
Swarm Optimization Platform: |
Size: 167936 |
Author:ahmed87
|
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Search - particle swarm power