PSO approach for ELD problem: A review

B. Rajashree, P. Upadhyay
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引用次数: 3

Abstract

The increase in real power demand on the distribution side of power system affects the cost of power generation. The main objective is to schedule the total demand among all the units in a thermal plant with minimum fuel cost by applying an intelligent technique. There are many conventional and intelligent techniques which are in practice for the economic dispatch of thermal units. In recent days intelligent techniques are playing key role in many applications because of its simple application. The results obtained by applying Particle Swarm Optimization (PSO) to 3 and 6 unit test cases are compared to other techniques. PSO is one of the intelligent techniques and is simple in application when compared to other existing intelligent techniques.
电场问题的粒子群方法综述
电力系统配电侧实际电力需求的增加影响着发电成本。其主要目标是应用智能技术,以最小的燃料成本调度热电厂所有机组的总需求。有许多传统的和智能的技术在实践中实现了热机组的经济调度。近年来,智能技术以其简单的应用在许多应用中发挥着关键作用。将粒子群优化(PSO)应用于3个和6个单元测试用例的结果与其他技术进行了比较。粒子群算法是一种智能技术,与现有的其他智能技术相比,具有应用简单的特点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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