NDLI: Congestion management for security oriented power system operation using generation rescheduling

Content Provider	IEEE Xplore Digital Library
Author	Yesuratnam, G. Pushpa, M.
Copyright Year	2010
Description	Author affiliation: Dept. of Electrical Engineering, Osmania University, Hyderabad, India (Yesuratnam, G.; Pushpa, M.)
Abstract	In the literature many methods for overload relieving have been reported for determining a secure operating point. Most of these methods use conventional optimization techniques, which are generally time - consuming from a computation point of view, especially for large systems. Further the conventional optimization technique updates all the controllers for most of the operating conditions. Under emergency conditions the operator, has to make quick decisions, with little concern for the theoretical optimality of the operating point and also the operator can not move all the controllers to different settings within less time. In this context a simplified approach has been proposed in this paper for security oriented power system operation. The contribution of each generator for a particular overloaded line is first identified, then based on Relative Electrical Distance (RED) concept the desired proportions of generation for the desired overload relieving is obtained. Then based on the Generation Shift Sensitivity Factor (GSSF) concept the desired proportions of generation for the desired overload relieving is obtained. An attempt is also made to curtail the number of generators to be rescheduled based on GSSF for overload relieving Results obtained for network overload alleviation of IEEE 39-bus New England system are presented for illustration purposes.
Starting Page	287
Ending Page	292
File Size	465874
Page Count	6
File Format	PDF
ISBN	9781424457205
e-ISBN	9781424457212
DOI	10.1109/PMAPS.2010.5528719
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-14
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Power system management Power system security Energy management Power generation Power system stability Power generation economics Optimization methods Investments Transformers Costs Congestion Relative Electrical Distance(RED) Generation Shift Sensitivity Factor (GSSF)
Content Type	Text
Resource Type	Article

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