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unit-commitment-with-v2g-using-pso
- Unitcommitment with V2G
MIP
- 运用分支定界法求解混合整数线性规划，可用于求解电力系统机组组合问题- solving mixed integer linear programming branch and bound method ,and the program can solve unit commitment problem
yichuansuanfayingyongyanjiu
- 摘要:本文旨在研究一种能对复杂热工对象的有效建模方法。基于遗传算法的辨识方法有较强的抗干扰能力,对低、高阶系统、延时系统都可以达到很好的辨识效果。根据单元机组的低阶非线性模型,推导出一个双进双出、能够描述机组动态特性及机炉间相互耦合关系的协调控制系统传递函数矩阵。依次模型为基础,提出一种基于改进的遗传算法的参数辨识方法。-Abstract: This paper aims to study a thermal complex objects can be an effective modelin
pso
- 主要计算电力系统机组组合问题，高智能算法，收敛效果好，迭代稳定-Calculate the power system unit commitment problem, intelligent algorithm, the convergence effect, iterative stable
psowithoutwind40uint
- Using algorithm pso in economic dispatch 40 unit generation without wind power
psowithwind40uint
- Using algorithm pso in economic dispatch 40 unit generation with wind power
PSO_optization_UC
- PSO matlab coding for Power Unit commitment
pso-eld
- 基于模糊自适应pso的电力系统负荷调度算法，采用的测试案例是标准1ee6g系统，约束条件包括机组出力上限限制、网络损耗和功率平衡。-Based on fuzzy adaptive pso scheduling algorithm of power system load, the test case is a standard 1 ee6g system, constraint conditions including limit the output of generating unit, t
PSO-for-PID
- 智能算法中的粒子群算法来控制PID控制器里的参数来调节单位阶跃响应，效果不错，大家可以参考-Intelligent algorithm of particle swarm optimization (pso) algorithm to control the parameters in the PID controller to adjust the unit step response, the effect is good, you can reference
pso
- PSO在约束条件下求解目标函数最优，可用于电力系统机组组合-PSO for optimization objection，can used to calculate the power system unit commitment problem
pso3
- 粒子群算法，用于解决火电机组的经济调度问题，功能强大实用，本人亲自调试-Particle swarm optimization (pso) algorithm, used to solve the problem of economic operation of thermal power unit, powerful, practical, and debugging in person
pso
- 电力系统机组组合问题的动态双种群粒子群算法，用MATLAB来仿真-Power system unit commitment problem dynamic double population particle swarm optimization algorithm, using MATLAB to simulate
pso
- 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s.-Based on the particle swarm optimization algorithm, the optimal output of the power generation unit is optimized under the condition of minimum operating cost and environment.
Unit Commitment with PSO
- Unit commitment problem using Particle Swarm Optimization (UCP-PSO)
Current methods and advances in forecasting
- Comparisons between stochastic and deterministic Unit Commitment solutions are provided. The generation of Unit Commitment solution is guaranteed by DEEPSO, which is a hybrid DE-EA-PSO algorithm, where DE stands for Differential Evolution, EA for
PSO_GD
- 假设微电网中有风、光、微型燃气轮机、蓄电池，且已知各时段负荷需求；考虑各机组运行成本、燃料成本、与污染物处理成本。该程序可解决在孤岛运行模式下，各机组出力如何分配才能达到经济最优的问题。(It is assumed that there are wind, light and micro gas turbines and batteries in the microgrid, and the load demand is known at each time period. The operat
PSO_BW
- 假设微电网中有风、光、微型燃气轮机、蓄电池，且已知各时段负荷需求；微电网可并网运行，当微网内部发电量较大时，可向电网卖电，而当内部发电不足时，可从大电网购电，价格参考实时电价。考虑各机组运行成本、燃料成本、污染物处理成本、以及买卖电支出或收益。该程序可解决在并网运行模式下，各机组出力如何分配才能达到经济最优的问题。(Suppose there are wind, light, micro gas turbines and batteries in the microgrid, and the l
G11
- PSO粒子群算法，找到常减压装置传递函数，simulink搭建模型，辨识常减压装置传递函数参数(PSO identification of the transfer function parameters of the atmospheric and vacuum distillation unit)
PSO单时段机组寻优
- 采用粒子群算法对单时段的机组组合进行寻优。(Particle swarm optimization (PSO) is used to optimize unit commitment in a single period of time.)
pso
- 实现机组负荷优化分配的粒子群算法MATLAB代码(MATLAB Code of Particle Swarm Optimization for Unit Load Distribution)