Muhammad Sidiq Dwi Putra, Sukma Abadi
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引用次数: 0

摘要

本文提出了用粒子群算法求解经济调度问题的最优解。粒子群算法可以在考虑燃料成本、满足负荷需求和运行约束的情况下对运行中的发电机进行调度,从而获得最优的优化结果。在本文中,考虑发电机组的燃料成本,将发电效率问题表述为一个单目标问题。测试用例,无阀点效应,无传输损失,已由PSO运行。为了观察该算法的有效性,将其与文献中其他算法进行了比较。结果表明,粒子群算法比其他算法更强大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Penjadwalan Ekonomis Pada Pembangkit Termal Dengan Menggunakan Particle Swarm Optimization
In this paper proposed optimal solution for Economic Dispatch (ED), problem has been suggested by Particle Swarm Optimization (PSO). PSO could schedule operating generator with to consider fuel cost, satisfying load demand and operational constraints so that optimal optimization results are obtained. In this article, the ED problem is formulated as a single objective problem by considering the fuel cost of generating units. Test cases, having no valve point effect without transmission loss has been operated by PSO. In order to view the effectiveness of the suggested algorithm, , it has been compared with other algorithms in the literature. Results show that the PSO is more powerful than other algorithms.
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