System Wide MV Distribution Network Technical Losses Estimation Based On Reference Feeder And Energy Flow Model

Ibrahim, Khairul Anwar and Au, Mau Teng and Gan, Chin Kim and Tang, Jun Huat (2017) System Wide MV Distribution Network Technical Losses Estimation Based On Reference Feeder And Energy Flow Model. International Journal Of Electrical Power And Energy Systems, 93. pp. 440-450. ISSN 0142-0615

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Abstract

This paper presents an integrated analytical approach to estimate technical losses (TL) of medium voltage (MV) distribution network. The concept of energy flow in a radial MV distribution network is modelled using representative feeders (RF) characterized by feeder peak power demand, feeder length, load distribution, and load factor to develop the generic analytical TL equations. The TL estimation approach is applied to typical utility MV distribution network equipped with energy meters at transmission/distribution interface substation (TDIS) which register monthly inflow energy and peak power demand to the distribution networks. Additional input parameters for the TL estimation are from the feeder ammeters of the outgoing primary and secondary MV feeders. The developed models have been demonstrated through case study performed on a utility MV distribution network supplied from grid source through a TDIS with a registered total maximum demand of 44.9 MW, connected to four (4) 33 kV feeders, four (4) 33/11 kV 30 MVA transformers, and twelve (12) 11 kV feeders. The result shows close agreement with TL provided by the local power utility company. With RF, the approach could be extended and applied to estimate TL of any radial MV distribution network of different sizes and demography.

Item Type:	Article
Uncontrolled Keywords:	Power and energy losses, Electric distribution network, Reference network, Energy flow model, Peak power loss analytical equation
Subjects:	T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Electrical Engineering
Depositing User:	Mohd Hannif Jamaludin
Date Deposited:	28 May 2018 07:45
Last Modified:	08 Jul 2021 21:03
URI:	http://eprints.utem.edu.my/id/eprint/20820
Statistic Details:	View Download Statistic

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