Distribution Network Reconfiguration for Optimal Operation of Distributed Generation with Ant Colony Algorithm

• Autorzy: Kasaei M. J.

Warianty tytułu

PL

Zastosowanie algorytmu mrówkowego w optymalizacji rekonfiguracji sieci dystrybucji energii, zawierającej źródła rozproszone

• Języki publikacji: EN

Abstrakty

EN

This paper introduces one of applications of the Ant colony algorithm to solve the optimal network reconfiguration problem with Distributed Generation (DG) for power loss reduction and voltage profile improvement. DGs, such as fuel cells and solar cells, etc., are going to be installed in the demand side of power networks for reducing power losses, network reinforcement, improving network efficiency and reliability. Network reconfiguration is performed by altering the topological structure of distribution feeders. By reconfiguring the network, voltage stability can be maximized for a particular set of loads in distribution networks. The performance of the proposed method was investigated on two distribution networks consisting of 33 and 10 buses.

PL

W artykule przedstawiono algorytm optymalnej rekonfiguracji sieci dystrybucji energii, zawierającej rozproszone generatory energii, z wykorzystaniem algorytmu mrówkowego. Metoda wpływa na zmniejszenie strat mocy oraz wahań napięcia sieci. Weryfikację przeprowadzono na dwóch sieciach przesyłowych, zawierających 33 i 10 linii.

Słowa kluczowe

EN

distribution network; distributed generation; reconfiguration; ant colony

PL

sieć dystrybucji; generacja rozproszona; rekonfiguracja; kolonia mrówek

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2012
• Tom: R. 88, nr 12a
• Strony: 255--258
• Opis fizyczny: Bibliogr. 19 poz., rys., tab.

Twórcy

autor

Kasaei M. J.

• Department of Electrical Engineering, Islamic Azad University, Zarandieh Branch, Zarandieh, Iran,

Bibliografia

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