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The application of dynamic multi-swarm particle swarm optimization in the optimial dispatch of loads of thermal power unit

机译:动态多群粒子群优化算法在火电机组负荷优化调度中的应用

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摘要

In this paper, a dynamic multi-swarm particle swarm optimization was carried out for the loads distribution method of thermal power plant, which avoids the standard particle swarm optimization easy to fall into local optimum faults. By dividing the particle swarm splits into two child particle swarm, which increases the diversity, enhances the exchange of information between particle swarm, obviously improves the convergence speed and precision and has better the globally researching optimization capability. By putting the algorithm into the optimal distribution of load of concrete problems, its effectiveness was verified.
机译:本文针对火电厂负荷分配方法进行了动态多群粒子群算法的优化,避免了标准粒子群算法容易陷入局部最优故障的情况。通过将粒子群划分为两个子粒子群,增加了多样性,增强了粒子群之间的信息交换,明显提高了收敛速度和精度,具有更好的全局研究优化能力。通过将该算法应用于具体问题的最优负荷分配中,验证了其有效性。

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