Modeling of Electric Springs and Their Multi-Objective Voltage Control Based on Continuous Genetic Algorithm for Unbalanced Distribution Networks

2021 ◽  
Author(s):  
Guillermo Tapia-Tinoco ◽  
David Granados-Lieberman ◽  
Martin Valtierra-Rodriguez ◽  
Juan Gabriel Avina-Cervantes ◽  
Arturo Garcia-Perez
Keyword(s):  
Genetic Algorithm ◽  
Voltage Control ◽  
Distribution Networks ◽  
Multi Objective ◽  
Continuous Genetic Algorithm

scholarly journals Optimal Seasonal Voltage Control in Rural Distribution Networks with Distributed Generators

2010 ◽  
Vol 61 (6) ◽  
pp. 321-331 ◽  
Author(s):  
Jordan Radosavljević ◽  
Miroljub Jevtić ◽  
Dardan Klimenta
Keyword(s):  
Genetic Algorithm ◽  
Voltage Control ◽  
Distribution Networks ◽  
Spatial Network ◽  
Network Decomposition ◽  
Control Plan ◽  
Distributed Generators ◽  
Real Distribution ◽  
Node Network ◽  
Tap Changer

Optimal Seasonal Voltage Control in Rural Distribution Networks with Distributed Generators This paper proposes a procedure for determining the optimal tap changer positions of off-voltage tap changing transformers in radial rural distribution networks in presence of distributed generators (DGs). The procedure is based on spatial network decomposition and as well as bringing down a branchy LV network to an equivalent line. Optimal voltage module values of PV nodes in the optimal seasonal control plan are determined by the application of a genetic algorithm. The proposed procedure is examined in two real distribution networks: a radial 33-node network with 11 DGs modelled as PQ nodes and a radial 40-node network with three DGs in total, two of which are modelled as PV nodes and one modelled as a PQ node.

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