Genetic algorithm based hydrothermal generation scheduling

In large electrical power generation systems the integrated operation of hydro and thermal power stations is considered to be more economical as compared to thermal power generation. Integrated operation results in optimum utilization of all energy sources in the most economical manner, to provide an uninterrupted supply to the consumers. Through a case study present paper aims at optimizing traditional thermal plants along small hydro power plants, for fuel cost efficiency. The overall system is optimized using Genetic Algorithm such that the cost of running the thermal power plant is gradually decreased by supplying the demand through other renewable energy sources same.