eprintid: 1305
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/13/05
datestamp: 2023-11-09 15:49:28
lastmod: 2023-11-09 15:49:28
status_changed: 2023-11-09 15:39:27
type: article
metadata_visibility: show
creators_name: Nallagownden, P.
creators_name: Mukerjee, R.N.
creators_name: Masri, S.
title: System reliability by prediction of generator output and losses in a competitive energy market
ispublished: pub
keywords: Energy markets; Learning coefficients; Learning procedures; MATLAB program; Power system operations; Power-losses; Prediction; Quadratic curves; Real time; Reliability test system; Reliable operation; System reliability, Commerce; Forecasting; Reliability; Deregulation; MATLAB; Software testing, Deregulation; Commerce
note: cited By 1
abstract: In a competitive energy market, system reliability should be maintained at all times. Power system operation being of online in nature, the energy balance requirements must be satisfied to ensure reliable operation the system. To achieve this, information regarding the expected status of the system, the scheduled transactions and the relevant inputs necessary to make either a transaction contract or a transmission contract operational, have to be made available in real time. The real time procedure proposed, facilitates this. This paper proposes a quadratic curve learning procedure, which enables a generator's contribution to the retailer demand, power loss of transaction in a line at the retail end and its associated losses for an oncoming operating scenario to be predicted. Matlab program was used to test in on a 24-bus IEE Reliability Test System, and the results are found to be acceptable.
date: 2010
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-78651549449&partnerID=40&md5=898a7b8cbc0ccea1ac31cbadb092e696
full_text_status: none
publication: World Academy of Science, Engineering and Technology
volume: 62
pagerange: 727-731
refereed: TRUE
issn: 2010376X
citation:   Nallagownden, P. and Mukerjee, R.N. and Masri, S.  (2010) System reliability by prediction of generator output and losses in a competitive energy market.  World Academy of Science, Engineering and Technology, 62.  pp. 727-731.  ISSN 2010376X