搜索资源列表
GAMatlab
- 本系统实现电力系统遗传算法的应用，能够很好的解决在电力系统中一般问题的求解
GAPSO
- GAPSO算法是一种先进的遗传粒子群算法，广泛应用于电力系统的低频振荡的控制研究。中。-无
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.
improved-genetic-algorithm
- 用于微电网在电力系统中的改进遗传算法优化，仿真运行-Improved Genetic Algorithm for micro-grid power system optimization, simulation run
BP-optimization
- 基于遗传算法的BP优化（电力系统负荷预测）-BP optimization based on genetic algorithms
GA-opf
- 利用遗传算法解决电力系统最优潮流问题。程序opf1为最优潮流的模型建立部分，gaopf是主函数，求解最小燃料费用。-By using the genetic algorithm to solve the power system optimal power flow problem.Program opf1 for optimal power flow model is established in this part, gaopf is the main function, and solvi
test_ga33
- 基于遗传算法电力系统无功优化(对于ieee33节点的算例程序)-Reactive Power Optimization of Power System Based on Genetic Algorithms(For example ieee33 node procedure)
9nodes
- 基于量子遗传算法的电力系统多目标无功优化文件，基于matpower平台。-Multi-objective reactive power based on quantum genetic algorithm optimized file system, based on matpower internet.
suanfa
- 混合算法结合，包括遗传算法求解电力系统无功优化问题-Hybrid algorithm combined, including genetic algorithm for reactive power optimization
powerflow
- 基于遗传算法和非线性规划寻优混合算法的 电力系统最优潮流计算 -Hybrid optimization algorithm based on genetic algorithm and Nonlinear Programming Optimal Power Flow Calculation
微电网在电力系统中的改进遗传算法优化
- 用于微电网在电力系统中的改进遗传算法优化，仿真运行-Improved Genetic Algorithm for micro-grid power system optimization, simulation run
D_P_GA
- 这是我们稳态课程上的大作业，要求对ZIP负荷和电动机负荷进行参数辨识，算法这里选用的是遗传算法。所参考的负荷模型见艾芊老师编著的《电力系统稳态分析》一书。(This is the homework of our course, which demands us to distinguish parameters of ZIP load & Motor load with GA.)
521668759564348ELDGA
- 电力系统典型经济调度问题，采用遗传算法进行求解，具有很好的研究价值。(The typical economic dispatch problem of power system is solved by genetic algorithm, which has good research value.)
powerflowcalcut
- 基于遗传算法和非线性规划寻优混合算法的电力系统最优潮流计算(Optimal power flow calculation of power system based on hybrid algorithm of genetic algorithm and nonlinear programming optimization)
yichuansuanfawugong
- 遗传算法(genetic algorithm，GA)是一种近年来发展起来的基于自然选择规律的进化算法，本程序利用改进型遗传算法对电力系统进行无功优化，与遗传算法进行比较，通过实际算例分析及MATLAB编程结果运行，成功解决了无功优化问题，并验证了改进型遗传算法的优越性。(The genetic algorithm (genetic algorithm GA) is an evolutionary algorithm based on natural selection rules develop
BP
- BP遗传算法，电力系统短期负荷预测系统应用(BP genetic algorithm, power system short-term load forecasting system)
多目标遗传算法
- 电力系统规划多目标遗传算法程序matlab程序(Multiobjective genetic algorithm)
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)
利用遗传算法解决电力系统最优潮流问题
- 此程序是利用遗传算法在经济约束下计算潮流(This program uses genetic algorithms to calculate power flow under economic constraints)
基于遗传算法matlab优化程序
- 改进型的GA，寻优速度快，可用用作电力系统潮流计算等方面。(The improved GA has fast optimization speed and no dimension disaster)