Optimal distributed generation location using mixed integer non-linear programming in hybrid electricity markets

This study presents, mixed integer non-linear programming (MINLP) approach for determining optimal location and number of distributed generators in hybrid electricity market. For optimal location of distributed generation (DG), first, the most appropriate zone has been identified based on real power...

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Bibliographic Details
Published in:IET generation, transmission & distribution Vol. 4; no. 2; pp. 281 - 298
Main Authors: Kumar, A., Gao, W.
Format: Journal Article
Language:English
Published: Stevenage The Institution of Engineering & Technology 01.02.2010
Subjects:
Distributed generation
Electricity
Generators
Markets
Mixed integer
Nonlinearity
Optimization
Programming
ISSN:1751-8687, 1751-8695
Online Access:Get full text
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Summary:This study presents, mixed integer non-linear programming (MINLP) approach for determining optimal location and number of distributed generators in hybrid electricity market. For optimal location of distributed generation (DG), first, the most appropriate zone has been identified based on real power nodal price and real power loss sensitivity index as an economic and operational criterion. After identifying the suitable zone, mixed integer non-linear programming approach has been applied to locate optimal place and number of distributed generators in the obtained zone. The non-linear optimisation approach consists of minimisation of total fuel cost of conventional and DG sources as well as minimisation of line losses in the network. The results have been obtained for pool electricity market model for comparison. The impact of demand variation on the results has also been obtained for both the market models. The proposed MINLP-based optimisation approach has been applied for IEEE 24, bus reliability test system.
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ISSN:1751-8687
1751-8695
DOI:10.1049/iet-gtd.2009.0026