NDLI: Selection of appropriate methodology for distributed generation under severity conditions

Content Provider	IEEE Xplore Digital Library
Author	Singh, A.K. Panda, S.K.
Copyright Year	2012
Description	Author affiliation: Department of Electrical Engineering Indian Institute of Technology Patna (Singh, A.K.; Panda, S.K.)
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.
Starting Page	1
Ending Page	4
File Size	207936
Page Count	4
File Format	PDF
ISBN	9781467307635
e-ISBN	9781467307666
DOI	10.1109/PowerI.2012.6479481
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-12-19
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	uncertainty analysis Uncertainty distributed generation severity analysis Power system stability Power system reliability Distributed power generation Reliability Load modeling contingency analysis
Content Type	Text
Resource Type	Article

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