Algorithm for elaboration of plans for service restoration to large-scale distribution systems

• Grant number: 07/02098-7
• Support Opportunities: Scholarships in Brazil - Master
• Start date: December 01, 2007
• End date: February 28, 2009
• Field of knowledge: Engineering - Electrical Engineering - Power Systems
• Principal Investigator: Joao Bosco Augusto London Junior
• Grantee: Moussa Reda Mansour
• Host Institution: Escola de Engenharia de São Carlos (EESC). Universidade de São Paulo (USP). São Carlos , SP, Brazil

Abstract

The elaboration of plans for service restoration in a fast way is necessary to deal with situations that leave network regions out-of-service. These situations may be caused by faults in the distribution network or by isolation of circuit zones for maintenance task. The methodologies developed for elaboration of plans for service restoration require network simplifications to work with large-scale real distribution systems. In general, these simplifications restrict the achievement of an adequate plan for energy restoration. This project proposes the development and implementation of a new technique for elaboration of plans for service restoration, based on Genetic Algorithms (GAs), that can deal with large-scale real distribution systems, without requiring network simplifications, that is, considering a large number of (or all) lines, buses, loads and switches of the system. In order to improve the performance (running time) of the GA proposed, it will be investigated the use of the data structure for graphs, called Node-Depth Representation (NDR), to computationally represent distribution systems. Preliminary studies have shown the GA with NDR should enable a better investigation of the search space, requiring a very reduced running time.

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

MANSOUR, Moussa Reda. Algorithm for elaboration of plans for service restoration to large-scale distribution systems. 2009. Master's Dissertation - Universidade de São Paulo (USP). Escola de Engenharia de São Carlos (EESC/SBD) São Carlos.