Optimal Distributed Generation Placement in Distribution Network (CROSBI ID 610734)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Vukobratović, Marko ; Hederić, Željko ; Hadžiselimović, Miralem
engleski
Optimal Distributed Generation Placement in Distribution Network
Abstract— this paper presents a method for optimal Distributed Generation placement with goal of reducing active power system losses and voltage level regulation. Active power losses in radial distribution network are determined using an Artificial Neural Network (ANN) by simultaneous formulation for the determination process based on voltage level control and injected power. Adequate installed power of distributed generation and the appropriate terminal for distributed generation utilization are selected by means of a genetic algorithm (GA), performed in a distinct manner that fits the type of decision-making assignment. The training data for ANN is obtained by means of load flow simulation performed in DIgSILENT PowerFactory software on a part of the Croatian distribution network. The active power losses and voltage conditions are simulated for various operation scenarios in which the back propagation ANN model has been tested to predict the power losses and voltage levels for each system terminal, and GA is used to determine the optimal terminal for distributed generation placement.
Distributed generation; Artificial Neural Networks; Genetic Algorithm; Voltage control; Power losses reduction.
DOI: 10.1109/ENERGYCON.2014.6850572
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Podaci o prilogu
1236-1243.
2014.
objavljeno
Podaci o matičnoj publikaciji
Proceedings EnergyCon 2014 - IEEE International Energy Conference
Kuzle, Igor ; Capuder, Tomislav ; Pandžić, Hrvoje ;
Red Hook (NY): Institute of Electrical and Electronics Engineers (IEEE)
978-1-4799-2448-6
Podaci o skupu
EnergyCon 2014 - IEEE International Energy Conference
predavanje
13.05.2014-16.05.2014
Dubrovnik, Hrvatska