中期热液配位的自然优化应用

2011 16th International Conference on Intelligent System Applications to Power Systems Pub Date : 2011-11-18 DOI:10.1109/ISAP.2011.6082235

V. H. Ferreira, G. H. C. Silva

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引用次数: 11

摘要

本文讨论了遗传算法和模拟退火的应用，通过大型非线性复杂系统的最优运行规划来解决热液协调问题。为了探索这类问题的不同解决方案，本文将遗传算法和模拟退火算法的结果进行了比较。所提出的技术应用于巴西电力系统的两个热液试验系统，一个由7个水力发电厂组成，另一个由14个水力发电厂组成。实验结果表明了所提方法的有效性。

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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Natural optimization applied to medium-term hydrothermal coordination

This paper deals with the application of genetic algorithms and simulated annealing in order to solve the hydrothermal coordination problem through the optimal operation planning of large and nonlinear complex systems. Aiming to explore different solutions for this kind of problem, this paper suggests a comparison between the results of genetic algorithms and simulated annealing. The proposed techniques are applied in two hydrothermal test systems that are part of the Brazilian electric system, one composed by seven and other composed by fourteen hydro plants. The results show the effectiveness of the proposed techniques.

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2011 16th International Conference on Intelligent System Applications to Power Systems

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