By Topic

Artificial intelligence algorithm for daily scheduling of thermal generators

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $31
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Wong, K.P. ; Dept. of Electr. & Electron. Eng., Western Australia Univ., Nedlands, Perth, WA, Australia ; Doan, K.

An artificial-intelligence-based algorithm is developed for scheduling thermal generators in a 24-hour schedule horizon. The primary requirement of meeting the daily system load demand and spinning reserve, the ramp rate characteristics and minimum up and down times of units, and the operational constraints, including the crew constraints, station synchronisation intervals, station shut-down intervals and the allowable operating limits of units, are incorporated in the algorithm. The scheduling algorithm consists of an algorithm for the run-up-to-peak period, an algorithm for the period between the midday and midafternoon peaks and an algorithm for the end-of-day decommitment period. The application of the developed scheduling algorithm to schedule ten thermal generators, implemented in Prolog, is presented

Published in:

Generation, Transmission and Distribution, IEE Proceedings C  (Volume:138 ,  Issue: 6 )