Hydropower Production Optimization from Inflow: Case Study of Songloulou Hydroplant

• 作者: Daniel Eutyche Mbadjoun Wapet Patrick Juvet Gnetchejo René Wamkeue Salomé Ndjakomo Essiane
• 来源期刊: 电力能源(英文)
• 学科: 经济
• 关键词: HYDROPOWER RESERVOIR OPTIMIZATION SIMULATION Dynamic Programming
• 年，卷（期）: 2020,（8）
• 页码范围: 37-52
• 页数: 16页
• 分类号: F42

摘要

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 <span style="font-family:Verdana;">Particle Swarm (TVACPSO) to obtain appropriate production function</span><span style="font-family:Verdana;"> which </span><span style="font-family:Verdana;">generated optimal operational policies for the Songloulou hydropower i</span><span style="font-family:Verdana;">n 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.</span>