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: 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: 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 Platform: |
Size: 134144 |
Author:zhaoweike |
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Description: 在传统的子载波分配过程中，具有优先权的用户将优先选择最好的载波，这将导致载波利用效率下降。
许多改进算法通过牺牲一定的公平性来提升容量并降低复杂度，但是这可能会使用户间无法达到所要求的公平
性。针对这些问题，提出了一种基于公平度门限的载波和功率自适应分配算法。在载波分配过程中，通过公平度
门限来决定载波分配优先级，从而实现容量和公平度的粗略折中。载波分配后利用粒子群（PSO）算法进行功率分配来达到所要求的公平度门限。实验结果表明，该算法在满足所要求公平度门限的同时提升了系统容量。 -In traditional sub-carrier allocation process, user with the highest priority can choose best
sub-carrier, which will result in low utilization of sub-carriers. Current improved algorithms can im-
prove system capacity and reduce algorithm complexity by sacrificing certain fairness, but they may not
achieve fairness requirement among users. In order to solve this problem, a new adaptive resource allo-
cation algorithm based on fairness threshold was proposed, in which the priority of the sub-carrier allo-
cation was determined by fairness threshold to achieve a rough tradeoff between capacity and fairness.
Then power allocation base on particle swarm optimization (PSO) was introduced to realize the required
fairness. Experimental results show that the proposed adaptive resource allocation algorithm can satisfy
the fairness requirement threshold and improve system capacity. Platform: |
Size: 733184 |
Author:wangfei |
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Description: MATLAB realization of this program for the distribution network 33 nodes in power flow calculation, and methods for the former to push back on behalf
[Total.rar] - Total program for radial system
[ps.rar] - A Binary Particle Swarm Optimization for Optimal Placement and Sizing of Capacitor Banks in Radial Distribution Feeders with Distorted Substation Vo
[neimokongz.rar] - Internal model control based on the three-phase voltage-type PWM rectifier control strategy for unbalanced study provides a PWM rectifier under unbala Platform: |
Size: 46080 |
Author:pao |
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Description: 粒子群算法在电力系统的应用，如电网重构，供电恢复-Particle swarm optimization in power system applications, such as network reconfiguration, power is restored Platform: |
Size: 7652352 |
Author:汪斌全 |
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Description: 针对火电厂循环水加酸控制系统存在控制系统对象难以建立、非线性和时变的特性，采用了改进的粒子群优化
算法优化PID参数，使得控制器可在不同环境温度下采用不同的PID参数．实际运行结果表明，该系统能够克服环境温
度带来的干扰，使循环水pH值被控制在给定值范围内．-Water plus acid control system for thermal power plant control system exists object is difficult to establish, nonlinear and time-varying characteristics, using the improved particle swarm optimization algorithm to optimize PID parameters, so that the controller can be different in different ambient temperatures. PID parameters. Actual operating results show that the system is able to overcome the interference caused by the ambient temperature, the circulating water pH value is controlled within a given range of values. Platform: |
Size: 601088 |
Author:dhskja |
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Description: binary particle swarm optimization algorithm used for small power system grid of unit commitment problem solution Platform: |
Size: 3072 |
Author:ajoush |
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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: 提高电源的动态响应 非线性和复杂的系统是一个转换器 电力电子的有趣的挑战。摘要介绍了 设计和实现数字PID控制器使用 混沌粒子群优化(复)提振 转换器,提出了自动调优转换器的方法 最优启动响应。当系统启动时,处理器 单元分析了开环启动响应转炉和 在一些迭代使用复准备最佳反应 算法。使用逻辑映射混沌映射序列 增加它的收敛速度和精度。模拟 和实现结果显示提出的效率 方法-Improving dynamic response of DC-DC
converters which are nonlinear and complicate systems is an
interesting challenge in power electronics. This paper presents the
design and implementation of digital PID controller using the
chaotic particle swarm optimization (CPSO) for a Boost
converter and proposes an approach for auto tuning converter
optimum startup response. When the system starts, processor
unit analyses the open loop startup response of converter and
prepares optimum response during some iteration using CPSO
algorithm. Chaotic mapping using logistic map sequences
increases its convergence rate and resulting precision. Simulation
and Implementation results show efficiency of proposed
approach Platform: |
Size: 437248 |
Author:闵国旗 |
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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
|
Hits:
Search - Particle Swarm Optimization power system