Paper Info
Title
Distribution Network Reconfiguration Using SPEA2 for Power Loss Minimization and Reliability Improvement
Abstract
AbstractThis article presents an original method based on Strength Pareto Evolutionary Algorithm 2 SPEA2 to solve the multi-objective reconfiguration problem of minimizing active power loss and improving power system reliability. The proposed evolutionary method is based on the Pareto optimality concept to equally optimize multiple objective functions providing a set of optimal solutions Pareto front, where the network manager can select an option. An original combination of evolutionary computation and spanning trees theories is put forward to ensure an efficient convergence of solutions without violating technical and topological constraints. The simulations were carried out in a standard IEEE 33 bus test system. The obtained results prove the capability of the proposed method to converge to the best minimum values of objective functions using a very small population size. Furthermore, the comparisons with other methods in the literature show the robustness and promptness of the suggested method.
Year
DOI
Venue
2018
10.4018/IJEOE.2018010103
Periodicals
Keywords
Field
DocType
Distribution Systems, Evolutionary Algorithms, Multi-Objective Optimization, Network Reconfiguration, Pareto Optimality, Power Loss, Reliability, Spanning Trees Theories, SPEA2
Convergence (routing),Mathematical optimization,Evolutionary algorithm,Computer science,Evolutionary computation,Electric power system,Multi-objective optimization,Robustness (computer science),Control reconfiguration,Pareto principle,Reliability engineering
Journal
Volume
Issue
ISSN
7
1
2160-9500
Citations 
PageRank 
References 
0
0.34
3
Authors
4
Name
Order
Citations
PageRank
Imen Ben Hamida100.34
Saoussen Brini Salah200.34
F. M'Sahli33512.03
Faouzi Mimouni443.06