搜索资源列表
fitness
- 基于粒子群算法的微电网优化调度，在运行成本最小，环境友好的条件下，优化发电单元的出力-Based on Particle Swarm Optimization microgrid scheduling, running costs are minimized, environmentally friendly conditions, optimize power generation unit output
Smart-Microgrid-PSO
- 智能微电网粒子群优化算法,微源：光伏、风机、发电机、储能等-Smart Microgrid PSO, micro sources: photovoltaic, wind turbines, generators, energy storage, etc.
liziqunyouhu
- 基于粒子群优化的微电网优化运行，IEEE经典微电网结构-Based on Particle Swarm Optimization microgrid optimization run, IEEE classic micro-grid structure
MATLABIEEE33PSO
- 用于实现IEEE33节点配电网系统中接入5个微电网的最优注入功率优化，使用粒子群算法实现。-Used to achieve access to the IEEE33 5 node distribution network system in micro grid optimal injection power optimization, using particle swarm algorithm
liziqun.
- 基于粒子群算法，实现一个微电网多目标优化运行-Based on particle swarm algorithm, a micro-grid multi-objective optimization operation is realized
2
- 配电网采用二进制粒子群算法进行重构，同时使用普通粒子群算法对接入的DG注入功率进行优化(The distribution network adopts binary particle swarm algorithm to refactor, and the DG injection power is optimized by using the general particle swarm algorithm)
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)
Smart-Microgrid-PSO
- 直流微电网采用光伏发电，光伏的最大功率点采用粒子群优化算法实现。(The DC microgrid adopts photovoltaic power generation, and the maximum power point of PV is realized by particle swarm optimization (PSO).)
GA
- 智能微电网粒子群优化算法,微源：光伏、风机、发电机、储能等((Smart Microgrid GA, micro sources: photovoltaic, wind turbines, generators, energy storage, etc.))
microgrid_nsga2
- 对微电网中的光伏、储能以及其他分布式发电资源进行优化。(Optimize photovoltaic, energy storage and other distributed generation resources in microgrid.)
智能微电网粒子群优化算法
- 智能微电网粒子群算法进行优化调度，减少成本(Optimal Dispatching of Microgrid)
基于神经网络的智能微电网多目标优化算法
- 智能微电网中利用粒子群算法实现微电网多目标优化(Multi-objective optimization of microgrid based on Particle Swarm Optimization in smart microgrid)
micro-grid based on CSO
- 本文分析微网中微电源包括光伏发电、风力发电、微燃机、柴油发电机和燃料电池的电气特性，构建微电网优化运行的模型，以微网的经济成本和环境成本最小为目标函数，充分考虑了电压越限、功率平衡、微电源出力限制等约束条件，应用鸡群算法进行求解。 解决了粒子群算法易早熟、易陷入局部最优解的问题。并通过典型的微网系统进行仿真分析，仿真结果验证了该算法的有效性。(In this paper, the electrical characteristics of micro-power sources in micro
智能微电网粒子群优化算法
- 微网粒子群优化配置程序，风光储设备选型及容量配置(Microgrid particle swarm optimization configuration program)
智能微电网中利用粒子群算法实现微电网多目标优化
- 针对智能微电网优化配置问题，分别对微电网中风机、光伏和储能电池进行容量设计，并采用粒子群算法对系统进行优化配置。(Aiming at the optimization configuration of the smart microgrid, the capacity design of the wind turbine, photovoltaic and energy storage batteries in the microgrid are respectively carried out
智能微电网粒子群优化算法
- 本程序适合于综合能源系统模型优化求解，可解决电气冷热优化求解问题(This program is suitable for the optimal solution of integrated energy system model)
PSO_多目标优化
- 对微电网中多个目标的优化采用粒子群算法，并对控制量进行求解从而得到目标精度(Particle swarm optimization (PSO) is used to optimize multiple objectives in microgrid, and the control variables are solved to obtain the target accuracy)
微电网优化调度
- 利用粒子群算法进行优化调度，以经济性为目标函数，完全可以运行(The particle swarm optimization algorithm is used to optimize the scheduling, which takes the economy as the objective function and can run completely)
微电网容量优化
- 用蒙特卡洛算法模拟风机及光伏出力，并用粒子群算法加以分配优化。(Monte Carlo algorithm is used to simulate the output of wind turbine and photovoltaic, and particle swarm optimization algorithm is used to optimize the distribution.)
智能微电网粒子群优化算法
- 含电动汽车的微电网的优化运行，用粒子群算法进行多目标优化(Multi-objective optimization is carried out by using particle swarm optimization algorithm (PSO) to optimize the operation of microgrid with electric vehicles)