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2下载：
使用遗传算法计算电力市场投标程序，电力专业的技术人员或者研究人员应该感兴趣-use of genetic algorithm electricity market bidding process, the power of professional or technical personnel should be of interest to researchers
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IEEE节点系统大全，包括IEEE3节点系统到300节点系统的详细数据，对测试电力系统有非常大的作用-IEEE bus system Daquan, including IEEE3 node system to 300-node system of detailed data, the test power system has a very big role
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考虑风电的FTR拍卖模型研究论文基于蒙特卡罗模拟的遗传算法源程序-Consider the wind power of FTR auction model based on Monte Carlo simulation studies of the genetic algorithm source code
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一篇经典的文献，讲述遗传算法在电力系统中的应用前景-A classic of literature, about the genetic algorithm in power system application prospects
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该文件是优秀论文并带有相应的源码。在Matlab软件平台上，对所提出的基于遗传算法的电力系统电力市场分段竞价交易算法进行了阶梯型报价曲线、线性报价曲线这两种常用报价曲线情况下的算例验证，计算结果显示算法的寻优效果因报价曲线性质的不同而略有区别，但两种情况均可得到优化的购电费用。实验结果证明了该算法应用于分段竞价模型的有效性和可行性，且不受报价曲线形式的限制。-The document is an excellent paper with a corresponding source code.
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提供一种用matlab编写的遗传算法，用于电力系统的，解决最优模型-A genetic algorithm using matlab for power system, to solve the optimal model
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用遗传算法编的求解最优潮流的目标函数和住程序-Optimal Power Flow with genetic algorithm programmed objective function and live program
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用C语言编写的基于遗传算法对电力系统无功优化程序源代码，程序调试基本完成。-C language based on genetic algorithm for reactive power optimization program source code, debugging basically completed.
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a powerful approach to find the
optimal size and location of distributed generation units in a
distribution system using Genetic Optimization algorithm (GA).
The total active and reactive power losses are minimized and
voltage profile is impr
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利用遗传算法对电动汽车充电统一管理进行优化，并得到优化前后的负荷功率曲线对比图及充电计划-Using genetic algorithm to optimize the unified management of electric vehicle charging, and optimize the power curve of load before and after contrast figure and charging projects
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genetic algorithm for optimal power flow code in matlab
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Including regression analysis and probability and statistics, Genetic algorithm based reactive power optimization, Complete codec LDPC code.
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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.)
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用遗传算法求解电网规划问题，双层算法求解，上层为遗传算法，下层利用拉格朗日对偶线性化后求解(Genetic algorithm is used to solve the power grid planning problem, double-layer algorithm is used to solve the problem, the upper layer is genetic algorithm, and the lower layer is solved by Lagrange dua
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