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An algebraic approach for determination of DG parameters to support voltage profiles in radial distribution networks


Muttaqi, KM and Le, ADT and Negnevitsky, M and Ledwich, G, An algebraic approach for determination of DG parameters to support voltage profiles in radial distribution networks, IEEE Transactions on Smart Grid, 5, (3) pp. 1351-1360. ISSN 1949-3053 (2014) [Refereed Article]

Copyright Statement

Copyright 2014 IEEE

DOI: doi:10.1109/TSG.2014.2303194


Rapidly increasing electricity demands and capacity shortage of transmission and distribution facilities are the main driving forces for the growth of Distributed Generation (DG) integration in power grids. One of the reasons for choosing a DG is its ability to support voltage in a distribution system. Selection of effective DG characteristics and DG parameters is a significant concern of distribution system planners to obtain maximum potential benefits from the DG unit. This paper addresses the issue of improving the network voltage profile in distribution systems by installing a DG of the most suitable size, at a suitable location. An analytical approach is developed based on algebraic equations for uniformly distributed loads to determine the optimal operation, size and location of the DG in order to achieve required levels of network voltage. The developed method is simple to use for conceptual design and analysis of distribution system expansion with a DG and suitable for a quick estimation of DG parameters (such as optimal operating angle, size and location of a DG system) in a radial network. A practical network is used to verify the proposed technique and test results are presented.

Item Details

Item Type:Refereed Article
Keywords:distributed generation, DG placement, DG size, DG operation, radial networks, voltage support
Research Division:Engineering
Research Group:Electrical engineering
Research Field:Electrical energy generation (incl. renewables, excl. photovoltaics)
Objective Division:Energy
Objective Group:Energy storage, distribution and supply
Objective Field:Energy systems and analysis
UTAS Author:Le, ADT (Mr An Le)
UTAS Author:Negnevitsky, M (Professor Michael Negnevitsky)
ID Code:97615
Year Published:2014
Web of Science® Times Cited:36
Deposited By:Engineering
Deposited On:2015-01-05
Last Modified:2017-11-06

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