Joint optimal dispatch of hydro-thermal power systems

Diversification of energy utilization modes brings convenience to the power industry, but it is also accompanied by economic problems with increased operating costs. In order to solve the minimum generation cost problem of hydro-thermal power systems, this paper takes hydro-thermal power systems as the research object and considers the constraints such as power constraints and load balance constraints. Firstly, a hydro-thermal power system economic dispatch model is established by combining genetic algorithms with non-linear programming. A nonlinear programming model considering only load balance constraint and power constraint is added to the crossover and mutation operators of genetic algorithm, so that the chromosomes of genetic algorithm are in the local optimal state, and the optimization space of genetic algorithm is reduced. Then the global optimization is realized by using the roulette selection operator of the genetic algorithm and adding the water storage constraint penalty term to the objective function. Finally, the validity of the method is verified by simulation.