搜索资源列表
DE40
- 微分进化算法来解决电力系统优化问题的源代码，例子采用的是40个粒子的大规模计算问题
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
matpower4.0
- matpower4.0工具箱，能做电力系统潮流和电力系统优化的计算工具箱，最新版本的-matpower4.0 toolbox
MY_PSO_zyk_cgaus_rldc
- 给予粒子群算法的优点,将其用于电力系统中进行参数优化有明显效果-this is a alagorithm of var power optimization
opf_slvr
- 用于电力系统运行中潮流的优化问题,确保供电质量安全-this is a alagorith of state slow of power
minopf3.2_w32
- 一种基于MATLAB的多目标最优化仿真工具箱，可以实现电力系统的多目标优化问题-MATLAB-based multi-objective simulation optimization toolbox, you can achieve the power system of multi-objective optimization problem
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
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
shuikuidiaodupso
- 水电站中长期优化调度主要是在满足电力系统出力要求以及下游综合用水要求等的前提下，合理地安排水库各个月份的发电流量，使得调度期内的总发电量最大。即在给定预报入库流量过程线、下游综合用水流量过程线、调度期起始水位和终止水位等条件下，通过总水量的合理运用使调度期内水电站的总发电量最大。-Long-term optimal operation of hydropower stations mainly in the power system to meet the output requirements
NetwonR
- 牛顿法,解决电力系统无功优化，牛顿拉夫逊法-i like it
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
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)
power system state .zip
- 电力系统状态估计的MATLAB的源程序，用于在线辨识，完善优化(MATLAB power system state estimation the source program of.)
电力系统粒子群优化算法
- 可以实现在电力系统中，特别是微电网领域的粒子群优化(MATLAB program for Particle Swarm optimization)
pso-svm电力负荷预测
- 电力负荷预测是电力系统规划的重要组成部分，也是电力系统经济运行的基础，其对电力系统规划和运行都极其重要。利用粒子群算法优化支持向量机更加高效准确预测电力负荷。(The power load forecasting is an important part of the power system planning, and it is also the basis of the economic operation of the power system. It is very important
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)
电力系统机组组合优化
- 基于matlab，用yalmip工具包调用cplex求解电力系统机组组合问题，程序可运行(Based on MATLAB, using yalmip toolkit to call CPLEX to solve the unit commitment problem of power system, the program can run)
电力系统机组组合分段线性优化
- 电力系统短期运行模拟程序，机组组合程序，以日为调度周期，ieee14节点标准系统为算例。(Power system short-term operation simulation program, unit combination program, daily scheduling cycle, IEEE 14 node standard system as an example.)