一种基于遗传算法的EGAT联产系统东部区域经济负荷调度方案

Proceedings of EMPD '98. 1998 International Conference on Energy Management and Power Delivery (Cat. No.98EX137) Pub Date : 1998-03-03 DOI:10.1109/EMPD.1998.705495

C. Achayuthakan, S. Srivastava

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引用次数: 12

摘要

本文采用遗传算法求解泰国东部地区电力系统的经济负荷调度问题。建立了系统中联合循环和热电联产电厂的分段成本特征模型，并将其用于ELD的计算。采用常规遗传算法和微遗传算法分别得到了ELD的结果。两种模型都有效地解决了ELD问题，降低了运行成本。然而，微遗传算法的收敛速度更快。

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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A genetic algorithm based economic load dispatch solution for Eastern region of EGAT system having combined cycle and cogeneration plants

This paper uses genetic algorithms (GAs) to solve the economic load dispatch (ELD) problem for the Eastern region of Thailand's utility (EGAT) power system. A piecewise model of cost characteristics is derived for the combined cycle and the cogeneration power plants in the system and utilized for the ELD formulation. Results of ELD are obtained by using a conventional GA and micro GA models. Both the models effectively solve the ELD problem and reduce the operating cost. However, the micro GA model offers faster convergence.

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Proceedings of EMPD '98. 1998 International Conference on Energy Management and Power Delivery (Cat. No.98EX137)

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