Multi-objective Reconfiguration of Power Distribution System Using an ILS Approach

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• 关键词：Optimization ; Iterated local search ; Distribution network reconfiguration problem ; Reconfiguration ; Artificial intelligence
• 刊名：Lecture Notes in Computer Science
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：9712
• 期：1
• 页码：555-563
• 全文大小：998 KB
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• 作者单位：Abdelkader Dekdouk (16)
  Hiba Yahyaoui (16)
  Saoussen Krichen (17)
  Abderezak Touzene (18)
  
  16. Computer Science Department, College of Arts and Applied Sciences, Dhofar University, Salalah, Oman
  17. LARODEC, Institut Superieur de Gestion, University of Tunis, Tunis, Tunisia
  18. Department of Computer Science, College of Science Oman, SQU University, Muscat, Oman
  
• 丛书名：Advances in Swarm Intelligence
• ISBN：978-3-319-41000-5
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349
• 卷排序：9712

文摘

In this paper, we address a distribution network reconfiguration problem (DNRP) that operates on standard configurations of electrical networks. The main objectives handled by the DNRP are the minimization of power loss, the minimization of the number of switching operations and the minimization of the deviations of bus voltages from their rated values. Due to its multiobjective nature and combinatorial aspects, the DNRP is considered as NP-hard. Hence approximate approaches are very promising in generating high quality solutions within a concurrential run time. In this paper, we develop a distribution network reconfiguration approach using an iterated local search (ILS) algorithm, known to be a powerful stochastic local search method. This has been investigated and illustrated on an IEEE 33-bus and IEEE 69-bus radial distribution systems. Indeed, we proposed a novel solution encoding that avoids in a smooth and natural way the creation of isolated components and closed loops, in each generated network configuration.