Pregled bibliografske jedinice broj: 697673
Optimal Distributed Generation Placement in Distribution Network
Optimal Distributed Generation Placement in Distribution Network // Proceedings EnergyCon 2014 - IEEE International Energy Conference / Kuzle, Igor ; Capuder, Tomislav ; Pandžić, Hrvoje ; (ur.).
Red Hook (NY): Institute of Electrical and Electronics Engineers (IEEE), 2014. str. 1236-1243 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 697673 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Optimal Distributed Generation Placement in Distribution Network
Autori
Vukobratović, Marko ; Hederić, Željko ; Hadžiselimović, Miralem
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings EnergyCon 2014 - IEEE International Energy Conference
/ Kuzle, Igor ; Capuder, Tomislav ; Pandžić, Hrvoje ; - Red Hook (NY) : Institute of Electrical and Electronics Engineers (IEEE), 2014, 1236-1243
ISBN
978-1-4799-2448-6
Skup
EnergyCon 2014 - IEEE International Energy Conference
Mjesto i datum
Dubrovnik, Hrvatska, 13.05.2014. - 16.05.2014
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Distributed generation; Artificial Neural Networks; Genetic Algorithm; Voltage control; Power losses reduction.
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo
Napomena
DOI: 10.1109/ENERGYCON.2014.6850572
POVEZANOST RADA
Ustanove:
Edukacijsko-rehabilitacijski fakultet, Zagreb,
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek
