Cost Prediction of Economic load Dispatch Problem Using Bees Algorithm..

A. Elrifai, H. Henry, M. Salama, Mohamed Abdelkarim
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Abstract

: This paper illustrates Bees Algorithm (BA) for solving the economic load dispatch (ELD) problem to obtain the best for all generation sets to achieve the minimum total fuel cost of the system. To show the efficiency of suggested algorithm two power system were tested. The first system consist of six thermal units and the second system consists of fifteen thermal unit with a wide range of operational constraints. The numerical data obtained from suggested method is examined with those obtained from different methods as Particle swarm optimization (PSO) and Genetic Approach Search (GAS) to illustrate the validity and verify the feasibility of the suggested method. The Bees Algorithm is an optimization method that mimics honey bee foraging behavior and has been effectively used to solve a number of real-world issues. The data results explain that, the suggested method which is suitable to deal with mathematical difficulties of economic load dispatch study.
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使用蜜蜂算法预测经济负荷调度问题的成本...
:本文阐述了解决经济负荷调度(ELD)问题的蜜蜂算法(BA),以获得所有发电组的最佳方案,从而使系统的总燃料成本最小。为了展示所建议算法的效率,对两个电力系统进行了测试。第一个系统由六个火力发电机组组成,第二个系统由十五个火力发电机组组成,运行约束条件范围很广。建议方法获得的数值数据与粒子群优化(PSO)和遗传搜索(GAS)等不同方法获得的数据进行了比较,以说明建议方法的有效性和可行性。蜜蜂算法是一种模仿蜜蜂觅食行为的优化方法,已被有效地用于解决现实世界中的许多问题。数据结果表明,所建议的方法适用于处理经济负荷调度研究中的数学难题。
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