Artificial intelligence algorithm for daily scheduling of thermal generators

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