Kahraman, Hamdi TolgaDöşoğlu, Mehmet KenanGüvenç, UğurDuman, SerhatSönmez, Yusuf2020-04-302020-04-302016978-1-5090-0866-7https://hdl.handle.net/20.500.12684/39764th International Istanbul Smart Grid Congress and Fair (ICSG) -- APR 20-21, 2016 -- Istanbul, TURKEYsonmez, yusuf/0000-0002-9775-9835; GUVENC, Ugur/0000-0002-5193-7990; Duman, Serhat/0000-0002-1091-125XWOS: 000389660400011In this study, the Symbiotic Organisms Search (SOS) algorithm is proposed to solve the short-term hydrothermal generation scheduling (STHGS) problem. This problem aims to optimize the power generation strategy produced by hydroelectric and thermal plants by minimizing the total fuel cost function while satisfying some operational constraints. In order to evaluate the effectiveness of the SOS, it has been tested on a system having a hydro plant with four-cascaded reservoir and a thermal plant. Results have been compared other meta-heuristic methods. Results obtained from the experiment show that the proposed algorithm produces better results than the other methods and shows a good convergence.eninfo:eu-repo/semantics/closedAccessSymbiotic organisms searchShort-term hydrothermal generation schedulingOptimizationConference Object6064N/A