Feeder Load Balancing using Neural Network

Autor:	Ukil, A., Siti, W., Jordaan, J.
Rok vydání:	2015
Předmět:	Computer Science - Neural and Evolutionary Computing
Zdroj:	Lecture Notes in Computer Science, Springer, vol. 3972, pp. 1311-1316, 2006
Druh dokumentu:	Working Paper
DOI:	10.1007/11760023_190
Popis:	The distribution system problems, such as planning, loss minimization, and energy restoration, usually involve the phase balancing or network reconfiguration procedures. The determination of an optimal phase balance is, in general, a combinatorial optimization problem. This paper proposes optimal reconfiguration of the phase balancing using the neural network, to switch on and off the different switches, allowing the three phases supply by the transformer to the end-users to be balanced. This paper presents the application examples of the proposed method using the real and simulated test data. Comment: 6 pages in final published version
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1503.06004 Zobrazit plný text záznamu View this record from Arxiv