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Hydropower Production Optimization from Inflow: Case Study of Songloulou Hydroplant

Journal of Power and Energy Engineering 2020年第8期8卷 37-52页

作者： Daniel Eutyche Mbadjoun Wapet Salomé Ndjakomo Essiane René Wamkeue patrick juvet gnetchejo Laboratory of Electrical Engineering Mecatronic and Signal Treatment National Advanced School of Engineering University of Yaounde 1 Yaoundé Cameroon Higher Technical Teacher Training College of Ebolowa University of Yaounde 1 Yaounde Cameroon School of Engineering University of Quebec in Abitibi-Temiscamingue (UQAT) Rouyn-Noranda Canada Laboratory 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.

关键词： Hydropower Reservoir Optimization Simulation Dynamic Programming

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Enhanced Vibrating Particles System Algorithm for Parameters Estimation of Photovoltaic System

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Journal of Power and Energy Engineering 2019年第8期7卷 1-26页

作者： patrick juvet gnetchejo Salomé Ndjakomo Essiane Pierre Ele René Wamkeue Daniel Mbadjoun Wapet Steve Perabi Ngoffe Laboratory of Technologies and Applied Sciences University of Douala Douala Cameroon Higher Technical Teacher Training College of Ebolowa University of Yaoundé Yaoundé Cameroon Electrical Engineering and Telecommunications Department National Advanced School of Engineering University of Yaoundé Yaoundé Cameroon School of Engineering University of Quebec in Abitibi-Temiscamingue (UQAT) Rouyn-Noranda QC Canada

To evaluate the performance of a photovoltaic panel, several parameters must be extracted from the photovoltaic. These parameters are very important for the evaluation, monitoring and optimization of photovoltaic. Among the methods developed to extract photovoltaic parameters from current-voltage (I-V) characteristic curve, metaheuristic algorithms are the most used nowadays. A new metaheuristic algorithm namely enhanced vibrating particles system algorithm is presented here to extract the best values of parameters of a photovoltaic cell. Five recent algorithms (grey wolf optimization (GWO), moth-flame optimization algorithm (MFOA), multi-verse optimizer (MVO), whale optimization algorithm (WAO), salp swarm-inspired algorithm (SSA)) are also implemented on the same computer. Enhanced vibrating particles system is inspired by the free vibration of the single degree of freedom systems with viscous damping. To extract the photovoltaic parameters using enhanced vibrating particles system algorithm, the problem can be set as an optimization problem with the objective to minimize the difference between measured and estimated current. Four case studies have been implemented here. The results and comparison with other methods exhibit high accuracy and validity of the proposed enhanced vibrating particles system algorithm to extract parameters of a photovoltaic cell and module.

关键词： PV Cell Modeling Vibrating Particles System Parameter Estimation Single/Double Diode Model

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