An Elitist Local Search Based Multi-objective Algorithm for Power Distribution System Reconfiguration

Multi Objective ◽

System Reconfiguration ◽

Multi-objective optimization using NSGA-II for power distribution system reconfiguration

International Transactions on Electrical Energy Systems ◽

10.1002/etep.1819 ◽

2013 ◽

Vol 25 (1) ◽

pp. 38-53 ◽

Cited By ~ 15

Author(s):

Romeu M. Vitorino ◽

Humberto M. Jorge ◽

Luís P. Neves

Keyword(s):

Power Distribution ◽

Distribution System ◽

Multi Objective Optimization ◽

Nsga Ii ◽

Multi Objective ◽

System Reconfiguration ◽

2016 IEEE PES Transmission & Distribution Conference and Exposition-Latin America (PES T&D-LA) ◽

A comparative study of multi-objective optimization methods for power distribution system reconfiguration

10.1109/tdc-la.2016.7805638 ◽

2016 ◽

Author(s):

M.A. Leon ◽

J.L. Guardado ◽

F. Rivas-Davalos ◽

E. Melgoza

Keyword(s):

Comparative Study ◽

Power Distribution ◽

Distribution System ◽

Optimization Methods ◽

Multi Objective Optimization ◽

Multi Objective ◽

System Reconfiguration ◽

A Fast Nondominated Sorting Guided Genetic Algorithm for Multi-Objective Power Distribution System Reconfiguration Problem

IEEE Transactions on Power Systems ◽

10.1109/tpwrs.2014.2332953 ◽

2015 ◽

Vol 30 (2) ◽

pp. 593-601 ◽

Cited By ~ 53

Author(s):

Awad M. Eldurssi ◽

Robert M. O'Connell

Keyword(s):

Genetic Algorithm ◽

Power Distribution ◽

Distribution System ◽

Multi Objective ◽

System Reconfiguration ◽

Distribution System Reconfiguration ◽

Nondominated Sorting

Power Distribution System Reconfiguration using Fast Non-Dominated Sorting Genetic Algorithm and Graph Theory

Power and Energy Systems and Applications ◽

10.2316/p.2012.788-049 ◽

2012 ◽

Cited By ~ 2

Author(s):

Awad M. Eldurssi ◽

Robert M. O'Connell

Keyword(s):

Genetic Algorithm ◽

Graph Theory ◽

Power Distribution ◽

Distribution System ◽

System Reconfiguration ◽

Multi-agent design for power distribution system reconfiguration based on the artificial immune system algorithm

Proceedings of 2010 IEEE International Symposium on Circuits and Systems ◽

10.1109/iscas.2010.5537841 ◽

2010 ◽

Cited By ~ 6

Author(s):

Rabie Belkacemi ◽

Ali Feliachi

Keyword(s):

Immune System ◽

Power Distribution ◽

Distribution System ◽

Artificial Immune System ◽

Artificial Immune ◽

System Reconfiguration ◽

Artificial Immune System Algorithm ◽

Multi Agent ◽

Performance analysis of a new algorithm for power distribution system reconfiguration

IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society ◽

10.1109/iecon.2014.7048505 ◽

2014 ◽

Cited By ~ 1

Author(s):

Awad M. Eldurssi ◽

Robert M. O'Connell

Keyword(s):

Performance Analysis ◽

Power Distribution ◽

Distribution System ◽

System Reconfiguration ◽

2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) ◽

Power distribution system reconfiguration based on genetic algorithm

10.1109/imcec.2016.7867177 ◽

2016 ◽

Cited By ~ 2

Author(s):

Lei Zhang ◽

Kaoshe Zhang ◽

Gang Zhang

Keyword(s):

Genetic Algorithm ◽

Power Distribution ◽

Distribution System ◽

System Reconfiguration ◽

Power Distribution System Reconfiguration for Loss Reduction By using Heuristic Method

International Journal of Science and Engineering Applications ◽

10.7753/ijsea0801.1006 ◽

2019 ◽

Vol 8 (1) ◽

pp. 24-29

Author(s):

Daisy Aung ◽

Hnin Wai Hlaing ◽

Hnin Wint Aung

Keyword(s):

Power Distribution ◽

Distribution System ◽

Heuristic Method ◽

Loss Reduction ◽

System Reconfiguration ◽

Electrical Power Distribution System Reconfiguration: Case Study of a Real-life Grid in Croatia * *This research has been supported by the European Commission’s FP7-ICT project DYMASOS (contract no. 611281) and by the Croatian Science Foundation (contract no. I-3473-2014). This research has also been carried out within the activities of the Centre of Research Excellence for Data Science and Cooperative Systems supported by the Ministry of Science and Education of the Republic of Croatia.

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2017.08.011 ◽

2017 ◽

Vol 50 (1) ◽

pp. 61-66 ◽

Cited By ~ 3

Author(s):

Branimir Novoselnik ◽

Martin Bolfek ◽

Marin Bošković ◽

Mato Baotić

Keyword(s):

Power Distribution ◽

Distribution System ◽

Data Science ◽

Electrical Power ◽

Real Life ◽

System Reconfiguration ◽

Science And Education ◽

The Republic ◽

2015 16th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA) ◽

Optimal power distribution system reconfiguration using genetic algorithm

10.1109/sta.2015.7505110 ◽

2015 ◽

Cited By ~ 3

Author(s):

Souifi Hayfa ◽

Kahouli Omar ◽

Hadj Abdallah Hsan

Keyword(s):

Genetic Algorithm ◽

Power Distribution ◽

Distribution System ◽

System Reconfiguration ◽

Optimal Power ◽