DocumentCode :
1405567
Title :
Optimal distributed generation location using mixed integer non-linear programming in hybrid electricity markets
Author :
Kumar, Ajit ; Gao, Wenzhong
Author_Institution :
Dept. of Electr. Eng., Nat. Inst. of Technol., Kurukshetra, India
Volume :
4
Issue :
2
fYear :
2010
fDate :
2/1/2010 12:00:00 AM
Firstpage :
281
Lastpage :
298
Abstract :
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 pattern of nodal real and reactive power prices, line loss reduction and fuel cost saving has been obtained. The results have also 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.
Keywords :
nonlinear programming; power markets; power system reliability; power system simulation; IEEE 24 bus reliability test system; distributed generation optimal location; hybrid electricity markets; mixed integer non-linear programming; non-linear optimisation; real power loss sensitivity index; real power nodal price;
fLanguage :
English
Journal_Title :
Generation, Transmission & Distribution, IET
Publisher :
iet
ISSN :
1751-8687
Type :
jour
DOI :
10.1049/iet-gtd.2009.0026
Filename :
5407470
Link To Document :
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