NDLI: ANN based control of Statcom for improving voltage profile in power system

Content Provider	IEEE Xplore Digital Library
Author	Varshney, S. Srivastava, L. Pandit, M.
Copyright Year	2011
Description	Author affiliation: Department of Electrical Engineering, Madhav Institute of Technology & Science, Gwalior, India (Varshney, S.; Srivastava, L.; Pandit, M.)
Abstract	This paper presents neural networks based approach for estimation of the control and operating parameters of Statcom used for improving voltage profile in a power system, which is emerging as a major problem in the day-to-day operation of stressed power systems. Statcom is an important voltage source converter FACTS device, which can be used in voltage control mode or reactive power injection mode. For stable operation and control of power systems it is essential to provide real time solution to the operator in energy control centers. Artificial neural networks are proposed here for this task as they have ability to synthesize complex mappings accurately and rapidly. Two multi layer feed-forward neural networks are developed to estimate the control/ operating parameters of statcom used for improving voltage profile at various loading condition of power system. To reduce the neural networks training time, the two ANNs have been developed simultaneously using parallel computing. The effectiveness of the proposed method is demonstrated on a benchmark 5-bus system. The results obtained clearly indicate the superiority of the proposed approach in terms of accuracy and speed.
Starting Page	1
Ending Page	7
File Size	301604
Page Count	7
File Format	PDF
ISBN	9781424478835
e-ISBN	9781424478828
DOI	10.1109/IICPE.2011.5728148
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-01-28
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Reactive power Parallel computing Artificial Neural Network Levenberg-Marquardt algorithm Artificial neural networks Parallel processing Testing performance Statcom voltage and its phase angle Automatic voltage control reactive power in statcom reactive power in the connected bus Testing
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in