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Optimal load distribution in power plants based on dynamic inertia weight particle swarm algorithm

机译:基于动态惯性权重粒子群算法的电厂负荷优化分配

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摘要

With the market-oriented reform in power industry, the research on the optimal distribution of load in thermal power plant has highlighted the importance. This paper established a model of the optimal load distribution about turbine, which take the constraints of thermal power plant with the valve point effect. A practical example analysis has verified that this improved algorithm in particle swarm optimization is feasible in solving the problem of optimal load distribution.
机译:随着电力行业市场化改革的深入,对火电厂负荷优化分配的研究凸显了其重要性。本文建立了一个考虑汽轮机最佳负荷分配的模型,该模型考虑了火电厂具有阀点效应的约束。实例分析证明,该改进的粒子群优化算法在解决最优负荷分配问题上是可行的。

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