Particle swarm optimization applied to economic dispatchs

Juan David Gomez, L. Gaitan, E. Trujillo
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引用次数: 1

Abstract

This article presents an application of the Particle Swarm Optimization (PSO) on the optimization of the power flow in a IEEE system with 30 nodes, which has some nodes with distributed generation. In first place, the mathematical model used for the optimization of the electricity generation costs. Afterwards, this model is applied in a case study with a IEEE system with 30 nodes. The results obtained through PSO are compared to other optimization methods, demonstrating that the cost and losses for the 30-node system are less than the values delivered by other methods. Then the same model is applied for the same power system with distributed generation in some of their nodes.
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粒子群优化在经济调度中的应用
本文将粒子群算法(PSO)应用于具有分布式发电的30节点IEEE系统的潮流优化问题。首先,利用数学模型对发电成本进行优化。然后,将该模型应用于具有30个节点的IEEE系统的实例研究中。将粒子群优化的结果与其他优化方法进行了比较,结果表明,30节点系统的成本和损失都小于其他方法的交付值。然后将该模型应用于同一电力系统的分布式发电节点。
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