DocumentCode
135230
Title
Optimal capacity and location assessment of natural gas fired distributed generation in residential areas
Author
Kamdar, Krutak ; Karady, G.G.
Author_Institution
Sch. of Electr., Comput. & Energy Eng., Arizona State Univ., Tempe, AZ, USA
fYear
2014
fDate
11-14 March 2014
Firstpage
1
Lastpage
5
Abstract
With the increasing use of natural gas to generate electricity, installed natural gas fired microturbines are found in residential areas to generate electricity locally. This paper discusses the methodology of assessing optimal capacity and locations for installing natural gas fired microturbines in distribution residential network. The IEEE 123 Node Test Feeder was selected as the test bed. Three phase unbalanced electric power flow was run in OpenDSS through COM server, and the gas distribution network was analyzed using GASWorkS. The continual sensitivity analysis methodology was proposed to select multiple DG locations and annual simulation was run to minimize annual average losses. Nodal pressures of the gas system were checked for various cases to investigate if existing gas distribution network can accommodate the penetration of selected microturbines. The results indicate the optimal locations suitable to place microturbines and capacity that can be accommodated by the system.
Keywords
distributed power generation; load flow; natural gas technology; sensitivity analysis; COM server; GASWorkS; IEEE 123 node test feeder; OpenDSS; annual simulation; continual sensitivity analysis methodology; distribution residential network; location assessment; microturbines; multiple DG locations; natural gas fired distributed generation; nodal pressures; optimal capacity; residential areas; three phase unbalanced electric power flow; Analytical models; Distributed power generation; Educational institutions; Load modeling; Natural gas; Power systems; Sensitivity; Distributed generation; electrical distribution system; microgrid; microturbines;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Systems Conference (PSC), 2014 Clemson University
Conference_Location
Clemson, SC
Type
conf
DOI
10.1109/PSC.2014.6808123
Filename
6808123
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