@article { author = {Coban, Hasan Huseyin}, title = {Maximizing Income of a Cascade Hydropower with Optimization Modeling}, journal = {Journal of Renewable Energy and Environment}, volume = {7}, number = {1}, pages = {12-17}, year = {2020}, publisher = {Materials and Energy Research Center (MERC) Iranian Association of Chemical Engineers (IAChE)}, issn = {2423-5547}, eissn = {2423-7469}, doi = {10.30501/jree.2020.105267}, abstract = {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.}, keywords = {Optimization based electricity market,cascaded reservoir operating rule,hydroelectric producer,short-term hydro scheduling,Nonlinear Optimization}, url = {https://www.jree.ir/article_105267.html}, eprint = {https://www.jree.ir/article_105267_166bfb6692e58cafb31b05baa7f6f537.pdf} }