基于混沌生物地理的优化算法在经济负荷调度中的应用

2020 National Conference on Emerging Trends on Sustainable Technology and Engineering Applications (NCETSTEA) Pub Date : 2020-02-01 DOI:10.1109/NCETSTEA48365.2020.9119956

Amit Mistri, P. Roy, B. Mandal

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引用次数: 3

摘要

本文研究了电力系统中的经济负荷调度问题，该问题的求解方法是基于混沌生物地理的优化算法(CBBO)。这里的ELD问题的非线性特征是斜坡速率极限、禁区和阀点不连续。该CBBO算法已成功应用于ELD，并在两个系统上进行了测试，即IEEE-10单元和另一个更大的系统是IEEE-140单元。该方法的测试结果与本文讨论的其他算法进行了有效性分析。结果证实了CBBO是一种非常有效的确定ELD问题的优化算法。

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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Chaotic biogeography-based optimization (CBBO) algorithm applied to economic load dispatch problem

This paper represents the economic load dispatch (ELD) problem, which is solved by a current optimization technique is known as a chaotic biogeography-based optimization (CBBO) algorithm in the power system. Here in ELD problems, the nonlinear characteristics are ramp rate limits prohibited zones and valve point discontinuities taken. This CBBO algorithm is successfully applied in the ELD and tested in two systems, i.e., IEEE-10 units and the other larger system is IEEE-140 units. The tested outcome of this method is potency and effectiveness analyze to other algorithms discussed in this paper. The result is to confirm that the CBBO is a very efficient optimization algorithm to determine the ELD Problems.

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2020 National Conference on Emerging Trends on Sustainable Technology and Engineering Applications (NCETSTEA)

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