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Title: Genetic algorithm based control for unbalanced low voltage networks
Authors: Oramas-Piero, Carlos
Vega-Fuentes, Eduardo 
Deniz, Fabian 
UNESCO Clasification: 3306 Ingeniería y tecnología eléctricas
120601 Construcción de algoritmos
Keywords: Genetic Algorithm
Low Voltage Networks
Voltage Unbalance
Issue Date: 2018
Journal: 2018 110Th Aeit International Annual Conference, Aeit 2018
Conference: 110th AEIT International Annual Conference 
110th AEIT International Annual Conference, AEIT 2018 
Abstract: There always exist unbalance in low voltage networks. It has adverse effects like current increase and voltage drops below regulatory limits in the most loaded phase, presence of current in the neutral conductor, over-voltage problems in the least loaded phase, and feeder tripping due to neutral overcurrent. Classic solutions involve grid reinforcements. In this paper a control methodology that may be applied to any unbalanced network is proposed. A real unbalanced low voltage network was modeled and simulated with OpenDSS and Matlab. The proposed control based on genetic algorithm found the least number of phase swaps required to restore voltage violations. It resulted in percentage voltage unbalance factor improvement and 18% losses reduction.
ISBN: 9788887237405
DOI: 10.23919/AEIT.2018.8577460
Source: 2018 110th AEIT International Annual Conference, AEIT 2018
Appears in Collections:Actas de congresos
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