Adaptive multi-objective distribution network reconfiguration using multi-objective discrete particles swarm optimisation algorithm and graph theory

This study proposes a Pareto-based multi-objective distribution network reconfiguration (DNRC) method using discrete particle swarm optimisation algorithm. The objectives are minimisation of power loss, the number of switching operations and deviations of bus voltages from their rated values subject...

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Vydáno v:	IET generation, transmission & distribution Ročník 7; číslo 12; s. 1367 - 1382
Hlavní autoři:	Andervazh, Mohammad-Reza, Olamaei, Javad, Haghifam, Mahmoud-Reza
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Stevenage The Institution of Engineering and Technology 01.12.2013 Institution of Engineering and Technology The Institution of Engineering & Technology
Témata:	adaptive multiobjective distribution network reconfiguration Algorithms Applied sciences distribution networks DNRC method Electrical engineering. Electrical power engineering Electrical power engineering Exact sciences and technology graph theory graph theory technique IEEE 33‐bus IEEE 70‐bus radial distribution systems IEEE standards minimisation Miscellaneous multiobjective discrete particles swarm optimisation algorithm Pareto optimal set Pareto optimisation Pareto‐based multi‐objective distribution network reconfiguration method Pareto‐dominance concept particle swarm optimisation power loss minimisation Power networks and lines probabilistic heuristics probability quantitative performance assessment stochastic random search Theory. Simulation IEEE 70-bus radial distribution systems Pareto optimisation DNRC method distribution networks particle swarm optimisation graph theory adaptive multiobjective distribution network reconfiguration probability quantitative performance assessment graph theory technique Pareto-based multi-objective distribution network reconfiguration method IEEE 33-bus multiobjective discrete particles swarm optimisation algorithm Pareto-dominance concept power loss minimisation Pareto optimal set IEEE standards minimisation probabilistic heuristics stochastic random search Radial distribution Probabilistic approach Pareto optimum Multiobjective programming Updating Iterative method Graph theory Stochastic method Adaptive method Particle swarm optimization Switching Implementation Search algorithm Bus system Electrical network Power system simulation Heuristic method Power losses Voltage Reconfigurable architectures Distribution network
ISSN:	1751-8687, 1751-8695
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Popis
Shrnutí:	This study proposes a Pareto-based multi-objective distribution network reconfiguration (DNRC) method using discrete particle swarm optimisation algorithm. The objectives are minimisation of power loss, the number of switching operations and deviations of bus voltages from their rated values subjected to system constraints. Probabilistic heuristics and graph theory techniques are employed to improve the stochastic random search of the algorithm self-adaptively during the optimisation process. An external archive is used to store non-dominated solutions. The archive is updated iteratively based on the Pareto-dominance concept to guide the search towards the Pareto optimal set. The method is implemented on the IEEE 33-bus and IEEE 70-bus radial distribution systems, simulations are carried out and results are compared with other available approaches in the literature. To assess the performance of the proposed method, a quantitative performance assessment is done using several performance metrics. The obtained results demonstrate the effectiveness of the proposed method in solving multi-objective DNRC problems by obtaining a Pareto front with great diversity, high quality and proper distribution of non-dominated solutions in the objective space.
Bibliografie:	SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-2 content type line 23
ISSN:	1751-8687 1751-8695
DOI:	10.1049/iet-gtd.2012.0712