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该书介绍了风电利用中的各种方法，并进行了系统的优化分析，是学生和工程人员学习的好书籍-The book describes the various methods in the use of wind power, and system optimization analysis is a good book for students and engineers learn
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MIMO 功率优化 matlab编程-The MIMO power optimization matlab programming
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用内点法实现电力系统潮流的优化问题上，代码完整，已经通过测试-Interior point method for power system optimization
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An Initialization Procedure in Solving Optimal
Power Flow by Genetic Algorithm.With this procedure, one can start the optimization process (i.e., genetic algorithm) with a set of control variables, causing few or no violations of constraints.
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半定规划内点法数据整理交直流系统统一无功优化算法，系数矩阵的确定。-Interior point method for semidefinite programming data collation AC and DC systems unified reactive power optimization algorithm to determine the coefficient matrix.
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萤火虫算法在分布式电源优化配置中应用 全部 很好的程序 只需换换节点数目就可以-Firefly algorithm optimization in distributed power configuration in all a very good application program can only change of the number of nodes
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电力系统中应用的遗传算发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-Application of genetic power system operator Electricity System Based on Genetic Algorithms reactive power optimization program that can help you better optimize power system using standard
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这是一个用于消除用户间干扰的MATLAB代码，利用了最小化干扰泄露的迭代优化算法，将用户接收到的干扰功率逼近于零来实现干扰消除。-This is a MATLAB code for eliminating interference between users, the use of iterative optimization algorithms minimize interference leaked, the user receives interference power approxi
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涉及D2D通信领域中，尤其是一种D2D通信中分布式功率控制方法。本发明解决其技术问题所采用的技术方案是：一种D2D通信中基于能效优化的分布式功率控制方法，所述控制方法包括以下步骤。本发明的有益效果主要表现在: -Involving the D2D communication field, particularly a D2D communication in distributed power control method. The invention to solve the technica
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用粒子群算法进行无功优化，比较实用，希望对大家有帮助-Particle swarm algorithm with reactive power optimization, more practical, we want to help, 14 nodes
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ABC 算法已经成功应用于人工神经网络训练、组合优化、电力系统优化、系统和工程设计等多个领域。近年来，ABC 算法得到了学术界的广泛关注，但由于提出时间较晚，目前的研究成果比较分散且缺乏系统性。-ABC algorithm has been successfully applied artificial neural network training, combinatorial optimization, power system optimization, multiple field sy
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本文针对当前科技水平不足以有效存储电力的情况下产生的发电机机组组合的问题，考虑负荷平衡、输电线传输容量限制等实际情况产生的约束条件，建立机组组合优化模型，追求发电成本最小。同时采用矩阵实数编码遗传算法（MRCGA）和穷举搜索算法，利用MATLAB 7.0.1和C++编程，分别对模型进行求解，并对所得结果进行分析比较，以此来帮助电力部门制定机组启停计划-This article in view of the current level of science and technology would
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基于粒子群算法的无功优化MATLAB源代码，IEEE30节点，希望对大家有帮助-Particle swarm algorithm with reactive power optimization, more practical, we want to help, 14 nodes
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电力潮流蚁群优化算法，用于解决潮流优化问题，强力推荐-Power flow ant colony optimization algorithm for solving the power flow optimization problem, a strong recommendation
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case30节点优化问题，用于电力系统潮流30节点运算-Case30 node optimization problem for power flow 30 node operation
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case33节点优化问题，用于电力系统潮流30节点运算-Case33 node optimization problem for power flow 30 node operation
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遗传算法无功优化，21节点实例计算，可以运行-Genetic algorithm based reactive power optimization, 21 instances of computing nodes, you can run
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matlab上实现的前推回代算法，结合遗传算法，有效的电网系统无功功率的优化问题，采用的模型是22节点的电力系统模型。-Matlab implementation of the forward and backward generation algorithm, combined with genetic algorithm, an effective power system reactive power optimization problem, the model is a 22 node
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wolf 方法计算李雅普诺夫指数,遗传算法无功优化，matlab编写的元胞自动机。- wolf calculated Lyapunov exponent, Genetic algorithm based reactive power optimization, matlab prepared cellular automata.
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毕设内容，高光谱图像基本处理，遗传算法无功优化，小波包分析提取振动信号中的特征频率。- Complete set content, basic hyperspectral image processing, Genetic algorithm based reactive power optimization, Wavelet packet analysis to extract vibration signal characteristic frequency.
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