DocumentCode
3545287
Title
Selection of appropriate methodology for distributed generation under severity conditions
Author
Singh, A.K. ; Panda, S.K.
fYear
2012
fDate
19-22 Dec. 2012
Firstpage
1
Lastpage
4
Abstract
Alternative energy sources are becoming more cost effective and many utilities are now providing incentives for alternative power. Placing these alternative energy sources, as well as other smaller traditional energy sources, in the power system, allows the development of a new paradigm related to distributed generation (DG). Considering normal operating condition, the selection of DGs based on renewable energy sources and conventional energy sources in the network may create the problem in severe condition that increases the disturbances in the system. This paper presents a novel scheme for selection of suitable DGs corresponds to their objective under contingency and uncertainty analysis. Severity analysis based on different social welfare optimization functions can be analyzed for the planning of DGs throughout the network. The proposed approach may be helpful for sub transmission network and distribution network at distribution level and also, helps policy makers and National electricity planners to devise a plan for allocation of DGs in different regions of the country.
Keywords
distributed power generation; optimisation; power distribution planning; power generation planning; power transmission planning; renewable energy sources; DG planning; alternative energy sources; contingency analysis; distributed generation; distribution network; national electricity planner; policy maker; renewable energy sources; severity analysis; social welfare optimization function; transmission network; Distributed power generation; Load modeling; Power system reliability; Power system stability; Reliability; Uncertainty; contingency analysis; distributed generation; severity analysis; uncertainty analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Power India Conference, 2012 IEEE Fifth
Conference_Location
Murthal
Print_ISBN
978-1-4673-0763-5
Type
conf
DOI
10.1109/PowerI.2012.6479481
Filename
6479481
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