一种启发式多目标径向配电网重构方法

Q4 Engineering

工程设计学报 Pub Date : 2013-11-26 DOI:10.1155/2013/654074

S. Shojaeian, Ebrahim Ghandehari

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引用次数: 3

摘要

本文介绍了一种新的径向配电网重构算法——“筛选算法”。它不仅结构简单，而且速度快，精度高。该算法通过消除不可行状态，缩小搜索空间，然后在剩余空间中使用一种简单的方法找到最优答案。为了保证该算法的有效性，对一个16交换机测试网络进行了测试，并将结果与其他三种知名算法进行了比较。仿真结果表明，该算法具有较高的速度和精度。

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 Heuristic Multiobjective Method for Radial Distribution Networks Reconfiguration

This paper introduces a novel algorithm for radial distribution networks reconfiguration, called “Sifting algorithm.” It not only has a simple structure but also has high speed and accuracy. It works by eliminating infeasible states and reduces the search space and then it uses a simple method to find optimum answer in remaining space. To ensure the effectiveness of this algorithm, a 16-switch test network was tested and the results were compared with three other well-known algorithms. The results of simulations showed high speed and accuracy of this algorithm.

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来源期刊

工程设计学报 Engineering-Engineering (miscellaneous)

CiteScore

0.60

自引率

0.00%

发文量

2447

审稿时长

14 weeks

期刊介绍： Chinese Journal of Engineering Design is a reputable journal published by Zhejiang University Press Co., Ltd. It was founded in December, 1994 as the first internationally cooperative journal in the area of engineering design research. Administrated by the Ministry of Education of China, it is sponsored by both Zhejiang University and Chinese Society of Mechanical Engineering. Zhejiang University Press Co., Ltd. is fully responsible for its bimonthly domestic and oversea publication. Its page is in A4 size. This journal is devoted to reporting most up-to-date achievements of engineering design researches and therefore, to promote the communications of academic researches and their applications to industry. Achievments of great creativity and practicablity are extraordinarily desirable. Aiming at supplying designers, developers and researchers of diversified technical artifacts with valuable references, its content covers all aspects of design theory and methodology, as well as its enabling environment, for instance, creative design, concurrent design, conceptual design, intelligent design, web-based design, reverse engineering design, industrial design, design optimization, tribology, design by biological analogy, virtual reality in design, structural analysis and design, design knowledge representation, design knowledge management, design decision-making systems, etc.