搜索资源列表
compensation
- 关于无功补偿的matlab优化程序，节点较多，可自己改动-Reactive power compensation on the matlab optimization procedures, more nodes can change their own
lhjco
- 电力线路的无功补偿设计，如何优化设计，使线损最小-q
matlabyuanchengxu
- 遗传算法解决无功优化问题，比较全面的程序提供共享-Genetic algorithm to solve reactive power optimization problem, a more comprehensive program to provide shared
NetwonR
- 牛顿法,解决电力系统无功优化，牛顿拉夫逊法-i like it
2
- 这是一篇关于电力无功优化的论文，内容比较全面的，很有利于参考-This is a reactive power optimization on the papers, more comprehensive, very conducive to reference
6546456564
- 含DG的配网无功优化计算研究，包括风力发电和光伏电池微型燃气轮机和燃料电池-Distribution network with DG' s reactive power optimization studies, including micro-wind turbines and photovoltaic cells and fuel cells
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
含DG的配网无功优化计算研究
- 配网无功优化，含典型IEEE33节点模型
配电网无功补偿的优
- 配电网无功补偿的优化程序，本科论文加程序，放心使用(Distribution network reactive power optimization procedures, undergraduate papers plus procedures, rest assured that the use of)
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)
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
MATLAB source code
- 基于粒子群算法的无功优化MATLAB源代码，IEEE30节点(MATLAB source code for reactive power optimization based on particle swarm optimization (PSO), IEEE30 node)
141736210924497
- 提供了基于遗传算法的无功优化运行仿真程序。(A genetic algorithm based reactive power optimization simulation program is provided.)
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)
reactive power optimization of DG
- 建立了基于模型预测控制的配电网多时间尺度无功优化模型，包含日前优化调节层和实时滚动调控层。日前优化侧重于运行经济性，协调配合不同类型无功设备进行大尺度无功调节，并预留充足动态无功储备响应动态调控，降低运行风险；实时滚动调控侧重于系统运行可靠性。(A multi-time scale reactive power optimization model for distribution network based on model predictive control is established,
基于遗传算法的无功优化
- 应用遗传算法对IEEE33节点算例进行无功优化，在节点18处接入了1个分布式发电和1个补偿电容。