The Short-Term Hydrothermal Coordination via Genetic Algorithms

This article presents a solution for the short-term hydrothermal generation scheduling problem (HGSP) by using a genetic algorithm. The hydrothermal coordination is solved using an equivalent cost function for the available thermal units, while the unit commitment and the economic dispatch are solved by considering the more capable individuals obtained from the hydrothermal coordination stage. Quadratic cost functions for the thermal units and a second grade equation depending on the volume and the flow for the active power calculation of the hydraulic generation are considered. The appropriateness of the proposition is proved in two power systems: The first system is composed of 4 hydraulic power stations and 10 thermal units, while the second system is composed of 16 hydraulic power stations and 30 thermal ones.

Keywords:

• unit commitment
• genetic algorithms
• hydrothermal scheduling
• power system economic operation