Artificial intelligence algorithm for daily scheduling of thermal generators

Author

Wong, K.P. ; Doan, U.

Author_Institution

Dept. of Electr. & Electron. Eng., Western Australia Univ., Nedlands, Perth, WA, Australia

Volume

138

Issue

6

fYear

1991

fDate

11/1/1991 12:00:00 AM

Firstpage

518

Lastpage

534

Abstract

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

Keywords

power system computer control; power systems; scheduling; thermal power stations; Prolog; allowable operating limits; artificial-intelligence-based algorithm; crew constraints; daily scheduling; daily system load demand; end-of-day decommitment period; operational constraints; ramp rate characteristics; run-up-to-peak period; spinning reserve; station shut-down intervals; station synchronisation intervals; thermal generators; valley period;

fLanguage

English

Journal_Title

Generation, Transmission and Distribution, IEE Proceedings C

Publisher

iet

ISSN

0143-7046

Type

jour

Filename

99219