Multi‐objective optimization using NSGA‐II for power distribution system reconfiguration. (24th October 2013)

• Record Type: Journal Article
• Authors: Vitorino, Romeu M.; Jorge, Humberto M.; Neves, Luís P.
• Is Part Of: International transactions on electrical energy systems. Volume 25:Number 1(2015:Jan.)
• Page Start: 38
• Page End: 53
• Publication Date: 2013-10-24
• Subjects: Electric power -- Periodicals; Electric power systems -- Periodicals; Electrical engineering -- Periodicals; 621.3
• DOI: 10.1002/etep.1819
• Languages: English
• ISSNs: 2050-7038

Abstract

<abstract abstract-type="main"> <title>SUMMARY</title> <p>This study proposes a new strategy to solve the problem of radial power distribution system (RDS) reconfiguration in a multi‐objective and constrained environment. Due to the presence of various conflicting objectives and constraints, the proposed strategy uses the Elitist Non‐Dominated Sorting Genetic Algorithm‐II (NSGA‐II), an effective evolutionary multi‐objective optimization technique. NSGA‐II determines a set of pareto‐optimal solutions for the power distribution system topology, considering power losses, reliability and investment in tie‐switches. The methodology adopted to evaluate the RDS reliability uses a non‐sequential Monte Carlo Simulation and is focused on the impacts of branch failures for interruption energy assessment. The effectiveness of the proposed methodology is demonstrated on a 69 bus RDS. Copyright © 2013 John Wiley &amp; Sons, Ltd.</p> </abstract>