NDLI: Artificial neural network approach for on-line ATC estimation in deregulated power system

Content Provider	IEEE Xplore Digital Library
Author	Selvi, V.A.I. Karuppasamypandiyan, M. Narmathabanu, R. Devaraj, D.
Copyright Year	2014
Description	Author affiliation: Dept. of Electr. & Electron. Eng., Vellammal Coll. of Eng. & Technol., Madurai, India (Narmathabanu, R.) \|\| Dept. of Electr. & Electron. Eng., Kalasalingam Univ., Krishnankoil, India (Selvi, V.A.I.; Karuppasamypandiyan, M.) \|\| Dept. of Comput. Sci., Kalasalingam Univ., Krishnankoil, India (Devaraj, D.)
Abstract	In the deregulated power systems, it is essential to know the value of Available Transfer Capability (ATC) for the smooth operation of the power system. ATC is generally calculated using repeated load-flow simulations of the interconnected transmission network. This paper presents an Artificial Neural Network based approach for online-ATC estimation for both bilateral and multilateral transactions. The proposed approach uses Feed forward neural network trained by Back Propagation Algorithm (BPA) for estimating ATC under normal and contingency condition. The proposed method is tested on IEEE 24 bus Reliability Test System (RTS) and results are compared with Repeated Power Flow (RPF) results. The experimental results show the suitability of proposed method for on-line ATC estimation.
Starting Page	1
Ending Page	5
File Size	252028
Page Count	5
File Format	PDF
e-ISBN	9781479936120
DOI	10.1109/EPSCICON.2014.6887500
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-06
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Available Transfer Capability Artificial Neural Network Neurons Estimation Training data Bilateral transaction Artificial neural networks Biological neural networks Load flow
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
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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