ABSTRACT
Global warming will lead to changes in water resources and climate, so understanding future conditions can help to better manage water resources and produce hydropower. This study uses climate models to forecast future climate change to ensure optimal hydropower generation. An improved optimization algorithm called Improved Bat Optimization Algorithm (IBOA) is used to maximize power generation. Results showed that temperature and precipitation will increase in the future. The hydrological forecast results show that as temperatures rise and precipitation changes from snow to rain, the flow rate of water will increase. Simulations of climatic and hydrological parameters reveal that the peak flow will occur earlier than expected. The optimization technique reduces the water level in a reservoir by 23% in winter when the peak flow is highest, and by 38% in summer, when the peak flow is lowest, by adjusting water releases to the turbine.
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No potential conflict of interest was reported by the authors.
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Juanjuan Wang
Juanjuan Wang: Graduated from Xi’an University of Posts & Telecommunications In 2017, Electronic and communication engineering, Master's degree.Now working in Xi’an Traffific Engineering Institute, Associate professor, mainly studies signal control and energy optimization analysis.
Fatemeh Gholinia
Fatemeh Gholinia His research interests are in the application of artificial intelligence and heuristic optimization methods to energy system, operation and planning . He has authored and co-authored of 2 books in the Engineering area all in Farsi, one book and more than 10 papers in international journals and conference proceedings. Also, he collaborates with several international journals as reviewer boards and works as editorial committee of three international journals