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EN
This paper represents a comparative analysis of two photovoltaic pumping systems. To study the performance of the Maximum Power Point Tracking (MPPT) system, two models were simulated using Matlab/Simulink and the performance of a directly connected photovoltaic (SPV) pumping system was compared to an MPPT connected SPV pumping system at various levels of solar irradiance. The MPPT system maximizes overall system efficiency, but makes the system complex compared to the directly connected SPV pumping system. Instead of the conventional boost converter the MPPT system contains a buck converter to maintain overall system voltage at the lower levels required by the permanent magnet DC (PMDC) motor. For simplicity, the MPPT controller follows the perturbation and observation (P & O) algorithm and controls the buck converter to maximize overall system efficiency at various levels of solar irradiance. The PMDC motor provides high weight-to-torque density, better speed control, low inertia, and lower losses compared to induction and the conventional DC motor. The comparative analysis shows that the MPPT connected SPV system is more efficient than the directly connected SPV system for water pumping purposes using a PMDC motor.
EN
In this paper, modeling and the Lyapunov-designed control approach are studied for the Wind Energy Conversion Systems (WECS). The objective of this study is to ensure the maximum energy production of a WECS while reducing the mechanical stress on the shafts (turbine and generator). Furthermore, the proposed control strategy aims to optimize the wind energy captured by the wind turbine operating under rating wind speed, using an Adaptive Gain Sliding Mode Control (AG-SMC). The adaptation for the sliding gain and the torque estimation are carried out using the sliding surface as an improved solution that handles the conventional sliding mode control. Furthermore, the resultant WECS control policy is relatively simple, meaning the online computational cost and time are considerably reduced. Time-domain simulation studies are performed to discuss the effectiveness of the proposed control strategy.
PL
Ze względu na swoje nieliniowe charakterystyki prądu I i napięcia U, elektrownia fotowoltaiczna powinna być wyposażona w algorytm śledzenia maksymalnego punktu wydajności. Pozwala to na uzyskiwanie maksymalnych wartości energii w szerokim spektrum zmieniających się warunków oświetlenia. Obecnie istnieje wiele algorytmów wyznaczania maksymalnego punktu pracy elektrowni fotowoltaicznej, celem artykułu jest przedstawienie metody wyznaczania trajektorii punktu maksymalnej wydajności elektrowni fotowoltaicznej za pomocą sterowania rozmytego.
EN
Due to the non-linear characteristics of the current I and voltage U, a PV plant should be equipped with a maximum power point tracking algorithm. This allows obtaining the maximum amount of energy in a large range of illumination. Presently there are many algorithms for determining the maximum operating point of the photovoltaic power plant. This paper is aimed to present the determination of the maximum operating point of the photovoltaic power plant using fuzzy control.
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