Short therm unit-commitment using genetic algorithms

Abstract

This paper presents a genetic approach for determining the priority order in the commitment of thermal units in power generation. The objective of the problem is to properly schedule the on/off states of all thermal units in a system to meet the load demand and the reserve requirements at each time interval, such that the overall system generation cost is a minimum, while satisfying various operational constraints. This paper examines the feasibility of using genetic algorithms and reports some simulation results in near-optimal commitment of thermal units in a power system.

Publication Title

Proceedings of the International Conference on Tools with Artificial Intelligence

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