Short therm unit-commitment using genetic algorithms
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.
Proceedings of the International Conference on Tools with Artificial Intelligence
Dasgupta, D., & McGregor, D. (1993). Short therm unit-commitment using genetic algorithms. Proceedings of the International Conference on Tools with Artificial Intelligence, 240-247. Retrieved from https://digitalcommons.memphis.edu/facpubs/3202