NDLI: Artificial neural network based planning of generation ready reserve capacity

Content Provider	IEEE Xplore Digital Library
Author	Guhina, F. Halilcevic, S.
Copyright Year	1998
Description	Author affiliation: Fac. of Electr. Eng., Ljubljana Univ., Slovenia (Guhina, F.)
Abstract	Describes the use of an artificial neural network (ANN) to plan ready reserve (RR) capacity in a power system. The main role of the ANN is to estimate the needs for RR in the future on the basis of historical data such as maximal and minimum demand not supplied, and the average load that has strained the system. The article deals with the results of ANN capabilities to interpolate from the past data in order to meet the demands of the future planning for the ready reserve adequately. The ANN showed advantage over other techniques regarding evaluation of the ready reserve generators. It can evaluate the needs for the ready reserve correctly for the data expected in the future. Such possibility makes a good base for planning of the RR capacity maintaining a high level of security and adequacy of a power system.
Starting Page	1966
Ending Page	1970
File Size	462830
Page Count	5
File Format	PDF
ISBN	0780348591
ISSN	10987576
DOI	10.1109/IJCNN.1998.687160
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-05-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Artificial neural networks Capacity planning Power system planning Power system reliability Power system security Spinning Power generation Power systems Character generation Power system stability
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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