最先进的输电扩展规划工具的比较研究

Proceedings of the 41st International Universities Power Engineering Conference Pub Date : 2006-09-01 DOI:10.1109/UPEC.2006.367757

T. Sum-Im, G. Taylor, M. Irving, Y. Song

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引用次数: 12

摘要

本文将一种新的差分进化算法(DEA)直接应用于基于直流潮流的输电扩展规划(TEP)模型。本文通过将DEA应用于TEP问题，介绍了人工智能(AI)算法的一个主要发展。通过对Garver的六总线测试系统和IEEE 25总线测试系统在MATLAB数学编程环境中的分析，初步证明了所提出的开发的有效性。使用DEA和传统遗传算法(CGA)进行了分析，并进行了详细的比较研究

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 Comparative Study of State-of-the-Art Transmission Expansion Planning Tools

In this paper, a novel differential evolution algorithm (DEA) is applied directly to the DC power flow based model to solve the transmission expansion planning (TEP) problem. This paper presents a major development of artificial intelligent (AI) algorithms through application of a DEA to the TEP problem. The effectiveness of the proposed development is initially demonstrated via analysis of the Garver's six-bus test system and the IEEE 25-bus test system within the mathematical programming environment of MATLAB. Analyses are performed using both a DEA and a conventional genetic algorithm (CGA) and a detailed comparative study is presented

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Proceedings of the 41st International Universities Power Engineering Conference

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