TY - JOUR ID - 105267 TI - Maximizing Income of a Cascade Hydropower with Optimization Modeling JO - Journal of Renewable Energy and Environment JA - JREE LA - en SN - 2423-5547 AU - Coban, Hasan Huseyin AD - Department of Electrical Engineering, Faculty of Engineering, Ardahan University, 75000, Ardahan, Turkey. Y1 - 2020 PY - 2020 VL - 7 IS - 1 SP - 12 EP - 17 KW - Optimization based electricity market KW - cascaded reservoir operating rule KW - hydroelectric producer KW - short-term hydro scheduling KW - Nonlinear Optimization DO - 10.30501/jree.2020.105267 N2 - This paper 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 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. UR - https://www.jree.ir/article_105267.html L1 - https://www.jree.ir/article_105267_166bfb6692e58cafb31b05baa7f6f537.pdf ER -