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Santos, Fernando Miguel Soares Mamede dos Santos
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- ENERGY MANAGEMENT ALGORITHM FOR END INSTALLATIONS WITH RENEWABLE PRODUCTION AND STORAGEPublication . Santos, Fernando; Hadla, HazemThis paper presents an algorithm to manage different renewable energy sourceswith storage. The objective of this algorithm is to regulate and control the outputcurrents of the DC-DC converters, which are directly connected to both the DC bus andthe inverter. Here, the inverter allows exchanging the energy between the DC bus andthe AC grid. The implementation of the proposed algorithm to end facilities in aliberalized market is also presented and tested. In addition, the benefits of suchimplementation, using eight dispatches, to the operators of the grid is demonstrated.The algorithm considers several situations of the consumption, energy production,various storage capacities, grid manager's demands, forecasts of production andconsumption loads. The results, which are obtained by the proposed algorithm, show agood regulation and control of the currents of the DC-DC converters, therefore a betterenergy management is achieved being this supported by an extensive theoretical analysis.
- Performance Comparison of Field-oriented Control, Direct Torque Control, and Model-predictive Control for SynRMsPublication . Hadla, Hazem; Santos, FernandoSimulation studies of three synchronous reluctance motor (SynRM) control strategies are presented: field-oriented control (FOC), direct torque control (DTC), and finite-set model-predictive control (FS-MPC). FOC uses linear controllers and pulse-width modulation to control the fundamental components of the load voltages vectors. In contrast, DTC and FS-MPC are nonlinear strategies wherein the voltage vectors are directly generated in the absence of a modulator. Theoretical operating principles and control structures of these control strategies are presented. Moreover, a comparative analysis of the static and dynamic performance of the control strategies is conducted using Matlab/Simulink to identify their advantages and limitations. It is confirmed that each of the control strategies has merits and that all three of them satisfy the requirements of modern high-performance drives.
- Parameter Identification for Simplfied Set Current Predictive Control of SynRM DrivesPublication . Hadla, Hazem; Santos, FernandoIn this work, a simplified finite set current predictive control (FS-CPC) is presented for the synchronous reluctance motor (SynRM) drive due to its fast response and simplicity. However, the prediction model of this control is obtained from a mathematical model of the motor which contains many parameters, and thus any parametric uncertainly might lead to inaccuracies of the predictive algorithm. Therefore, the online identification of the stator resistance, and inductances of the motor are implemented using the recursive least square (RLS) technique. The identification method is built in Matlab/Simulink, and the obtained simulation results reveal its strong accuracy and effectiveness. Thus, the estimation technique is seen as a good option to be selected and combined with the simplified FS-CPC of the SynRM.