This paper Glider focuses on the short-term cascade hydro scheduling problem, especially in a competitive environment, namely in market conditions.A nonlinear stochastic optimization method is proposed to take into consideration the hydroelectric energy production as a function of hourly electricity market prices and water release rates.In order to solve a case study based on one of the Turkish cascaded hydropower facilities, the proposed method has been successfully applied to a wide variety of problems at a negligible computation time while providing a higher profit.
The paper shows the benefits that could be achieved by applying a model based on Drug Tests the Quasi-Newton Method, which finds zeroes or local maxima and minima of solving a certain type of optimization functions because it can better handle the uncertainty, constraints, and complexity of the problem.Ten-year hourly water inflow data and electricity market prices were used as inputs, and the results of the cascade and single optimization were compared.A comparison study with the operation of each hydropower plant (HPP) separately showed that 18 % higher income was obtained with a cascade variant.