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2下载：
基于matlab的基本粒子群优化算法，可应用与最优潮流计算等-Matlab-based optimization of the particle swarm algorithm can be applied with optimal power flow calculation
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基于长期负荷预测的线性规划燃机出力能量优化控制-Long-term load forecasting based on linear programming optimization of gas turbine power output control
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电力系统潮流计算程序，采用节点优化编号及稀疏存贮技术-Power flow calculation program, using the node number and the sparse storage optimization technology
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OPF by Chaotic Optimization-to solve the optimal power flow problem by chaotic optimization
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协同通信中AF模式情况下功率分配优化算法，优化源节点和中继节点的功率分配。-Collaborative Communication AF mode power allocation optimization cases, optimizing the source node and relay node power distribution.
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本程序为基于粒子群的IEEE 118 节点的电力系统优化调度程序-distributed generation voltage control environmental benefits active/reactive power integrated optimization particle
swarm algorithm
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电力系统节点优化程序.实现了节点的优化编号，节省了计算机内存空间，提高了计算速度-Power system node optimization program. Realized the optimization of node number, saving computer memory space, improve the calculation speed
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改进的快速粒子群优化算法计算含DG配电网无功优化和运行费用最优解(Improved Fast Particle Swarm Optimization for Reactive Power Optimization and Operation Cost Optimization of Distribution Network with DG)
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