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.
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