搜索资源列表
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reactive power optimization+genetic algorithm
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Article of Algorithm to Power Flow: Distribution System Restoration Using Genetic Algorithm.
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基于遗传算法的OFDM自适应资源分配算法MATLAB源码
OFDM自适应资源分配问题（载波、功率等），是一个既含有离散决策变量，又含有连续决策变量的非线性优化模型，且含有较为复杂的非线性约束，因此适合采用智能优化算法进行求解。
-Adaptive genetic algorithm-based resource allocation algorithm for OFDM OFDM MATLAB source adaptive resource allocation prob
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matlab program for genetic algorithm use in artificial intelligent in power system optimization problem
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genetic algorithm program for power system
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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
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Power system stabilizers (PSS) are now routinely used
in the industry to damp out power system oscillations. In this paper,
real-coded genetic algorithm (RCGA) optimization technique is
applied to design robust power system stabilizer for both
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OPTIMAL POWER FLOW WITH TCSC USING GENETIC ALGORITHM
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基于遗传算法的无功优化程序(通用版，可修改)-Reactive power optimization procedures based on genetic algorithms (generic version can be modified)
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在matlab环境下，使用遗传算法优化算法实现无功优化，验证算法的优越性-In the matlab environment using genetic algorithm optimization of reactive power optimization algorithm to verify the superiority of the algorithm
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genetic algorithm based optimal power flow solution
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this research paper is based on Load scheduling in power system by genetic algorithm
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optimal power flow using genetic algorithm
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During past decades, power systems have been managed conventionally. This system includes generation and transmission companies. Recent strategy of the our country has result in changes in the management system and the traditional companies, so they
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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)
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Optimal Power flow(OPF) is allocating loads to plants for minimum cost while meeting the network constraints. It is formulated as an optimization problem of minimizing the total fuelvcost of all committed plant while meeting the network(power flow )
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A very important paper for implementing genetic algorithms to solve the unit commitment problem.
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利用遗传程序设计建立电力系统的负荷模型，无需像传统方法一样预先确定具体的模型结构，它能根据输入输出数据直接演化出变量间的函数关系，并且能够一次性的同时确定函数的结构形式和参数，使得模型的生成过程趋于智能化、自动化，解决了负荷建模工作中长期困扰的模型辨识问题。(Genetic Programming(GP) is a new evolutionary algorithm based on genetic algorithm,which has self-adaptive,self-organizi
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基于遗传算法配电网重构的解决经济问题的一份程序，很完整，值得拥有(A procedure for solving economic problems based on genetic algorithm power distribution network reconstruction is very complete and worth having)
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This matlab codes is about dg & capacitor placement in power system using matpower. it is very useful...
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