Abstract
In power system operation, short-term hydrothermal scheduling (STHTS) is a daily planning option.
By properly scheduling the power outputs of all hydro and thermal units within study periods, given
electrical demand and restricted water resources, the primary goal of hydro thermal generation
scheduling is to reduce total operating costs and fulfill the provided limitations. The Real Variable
Genetic Algorithm approach for the fixed head hydrothermal issue is presented in this research.
Additionally, a hydro power input-output model with constant head was created for the Sewa
hydroelectric power plant utilizing MATLAB 7.9 version software and curve fitting methods,
including the least squares approach. For the case study under consideration, the genetic algorithm's
control parameters have been improved.