Effects of parameter variation on imperialistic competition based economic emission dispatch

2016 International Conference on Circuit, Power and Computing Technologies (ICCPCT) Pub Date : 2016-03-18 DOI:10.1109/ICCPCT.2016.7530110

Chandan Kumar Barik, Rukmini Baksi, Himanshu Shekhar, Biswa Ranjan Kuanr, Madhavi Lata

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引用次数: 1

Abstract

Imperialistic competitive algorithm (ICA) is a recently developed meta-heuristic technique that has been successfully implemented for solving various complex optimization problems. Like other meta-heuristic techniques, performance of ICA predominantly depends on the selection of control parameters. However, optimal setting of control parameter for ICA is problem specific. In this paper, a study of control parameter setting for an imperialistic competitive algorithm based economic emission dispatch problem with valve point loading and transmission loss is carried out. Economic emission dispatch problem was formulated by taking equality constraint on power balance and inequality constraint on generator capacity limit and losses into consideration. Proposed approach was examined on a ten generating unit system and effects of parametric variation on results are presented. Analysis of obtained results reveals that an improper selection of algorithm control parameter might lead to premature convergence and poor computation efficiency.

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参数变化对帝国主义竞争经济排放调度的影响

帝国竞争算法(imperial competitive algorithm, ICA)是近年来发展起来的一种元启发式算法，已成功地用于解决各种复杂的优化问题。与其他元启发式技术一样，ICA的性能主要取决于控制参数的选择。然而，ICA控制参数的最优设置是针对特定问题的。本文研究了考虑阀点负荷和传输损耗的帝国竞争算法经济排放调度问题的控制参数设置问题。考虑功率平衡的等式约束和发电机组容量限制和损失的不等式约束，提出了经济排放调度问题。在10个发电机组系统上对该方法进行了验证，并给出了参数变化对结果的影响。对已有结果的分析表明，算法控制参数选择不当可能导致算法过早收敛，计算效率低下。

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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2016 International Conference on Circuit, Power and Computing Technologies (ICCPCT)

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