Author(s)

Daniel Eutyche Mbadjoun Wapet¹, Salomé Ndjakomo Essiane^1,2, René Wamkeue^1,3, Patrick Juvet Gnetchejo⁴

¹Laboratory of Electrical Engineering, Mecatronic and Signal Treatment, National Advanced School of Engineering, University of Yaounde 1, Yaoundé, Cameroon.
²Higher Technical Teacher Training College of Ebolowa, University of Yaounde 1, Yaounde, Cameroon.
³School of Engineering, University of Quebec in Abitibi-Temiscamingue (UQAT), Rouyn-Noranda, Canada.
⁴Laboratory of Technologies and Applied Sciences, University of Douala, Douala, Cameroon.

The model of nonlinear power generation function is developed to generate optimal operational policies for Songloulou inflow in Cameroon and test these policies in real time conditions. Our model is used to adjust operational regimes for the Songloulou reservoir under varying flows (turbined and deversed) using a dynamic program. A more interesting approach, proposed in this article, consists of combining both the principle of decomposition by resources (or quantities) and the technique of dynamic programming. Dynamic programming is an appropriating optimization algorithm that is used for complex non-linear inflow operational policies and strategies. In this case study, our optimization model is used and confirmed maximizing large scale of hydropower in a period of time step by the integration of several. The high non linearity of our study object is the first stage of difficulty which brought us to combined least squared and Time Varying Acceleration Coefficients Particle Swarm (TVACPSO) to obtain appropriate production function which generated optimal operational policies for the Songloulou hydropower in sub-Saharan region and after we tested it in the company policies operational at real time conditions. The model could be successfully applied to other hydropower dams in the region.

Hydropower, Reservoir, Optimization, Simulation, Dynamic Programming

Wapet, D. , Essiane, S. , Wamkeue, R. and Gnetchejo, P. (2020) Hydropower Production Optimization from Inflow: Case Study of Songloulou Hydroplant. Journal of Power and Energy Engineering, 8, 37-52. doi: 10.4236/jpee.2020.88003.