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基于遗传算法的电力系统无功优化程序
- 应用遗传算法进行电力系统的无功优化。
sf1704.zip
- 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
matlab
- 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
InThePowerFlowCalculationOfReactivePowerOptimizati
- 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.
改进P-Q分解法潮流
- 改进的微分进化算法，此算法为优化算法，可以用在电力系统的无功优化，配电网重构中。-Differential Evolution
Reactive-power-optimization
- 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
jisuan
- 进行电力网络的潮流计算 可以此进行无功优化等问题-electrical calculation
7311
- 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电力虚拟系统无功能-Based on genetic algorithm for reactive power optimization program that can help you make better optimization of power system non-functioning power virtual systems
power_system_reactive_power_optimization
- 优秀论论及对应源码。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。因此，电力系统配电网无功优化规划问题的研究，既具有理论意义，又具有工程实际应用价值。配电系统最优规划问题是一个复杂的非线性组合优化问题，至今未得到很好的解决。Tabu搜索(TS—Tabu search)算法是近年来出现的用于求解组合优化问题的一种高效的启发式搜索技术。本文采用固定并联电容器作为研究对象对系统进行无功补偿，并利用智能优化方法得到使配电网损耗降低最大对应的最优
wugongyouh
- matlab程序 对电力系统无功优化的简单源程序-matlab program for reactive power optimization of a simple source
qpso
- 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
NetwonR
- 牛顿法,解决电力系统无功优化，牛顿拉夫逊法-i like it
yichuansuanfa
- 有关电力系统无功优化方面的遗传算法的MATLAB源代码。-The reactive power optimization genetic algorithm MATLAB source code.
VCDE
- 改进基本DE算法 电力系统无功优化 风电场 ，对比例因子和缩放因子进行改进，重叠改进，应用与含风电场无功优化。-Improvement of basic DE algorithm to optimize reactive power wind farm, the scale factor and scaling factor to improve, overlapping improvements, applications, and with the wind farm reactive po
ga
- 求解电力系统无功优化的改进遗传算法程序，程序效率高，推荐-Solving reactive power optimization of improved genetic algorithm
细菌优化算法
- 细菌觅食算法 可以用来解决电力系统无功优化，调度等寻优问题，可以来参考下(Bacterial foraging algorithm can be used to solve the power system reactive power optimization, scheduling and other optimization problems, you can refer to)
无功优化
- 配电网 69节点 电力系统 遗传算法 无功优化(reactuve power optimization)
粒子群算法1
- 粒子群算法,强引导粒子群与混沌优化的电力系统无功优化(Particle swarm optimization, strongly guided particle swarm optimization and chaotic optimization for reactive power optimization in power systems)
83390062chengxu
- 利用matlab语言和软件采用粒子群优化算法解决电力系统无功优化问题(Using MATLAB language and software to solve reactive power optimization problem in power system by particle swarm optimization)
遗传算法
- 遗传算法在无功优化的应用，电力系统潮流计算(Application of genetic algorithm in reactive power optimization)