TY - GEN
T1 - Sensorless predictive direct power control with on-line inductance estimation for grid-connected pv applications
AU - Ahmed, Mostafa
AU - Abdelrahem, Mohamed
AU - Harbi, Ibrahim
AU - Kennel, Ralph
N1 - Publisher Copyright:
© VDE VERLAG GMBH · Berlin · Offenbach.
PY - 2021
Y1 - 2021
N2 - In this study, predictive direct power control technique is adopted for two-stage grid-connected PV systems. The system consists of a photovoltaic (PV) source, boost converter, two-level inverter, and filter for the grid connection. The proposed control strategy eliminates all the grid voltage sensors by employing an extended Kalman filter (EKF). To enhance the robustness of the system against parameters variation, the system’s inductance is included in the estimation process. Furthermore, the calculation burden associated with the conventional predictive direct power control technique is reduced using a simplified control methodology. The maximum power point tracking (MPPT) operation is accomplished using the perturb and observe (P&O) method. The proposed control algorithm is validated via simulation results under different atmospheric and operating conditions.
AB - In this study, predictive direct power control technique is adopted for two-stage grid-connected PV systems. The system consists of a photovoltaic (PV) source, boost converter, two-level inverter, and filter for the grid connection. The proposed control strategy eliminates all the grid voltage sensors by employing an extended Kalman filter (EKF). To enhance the robustness of the system against parameters variation, the system’s inductance is included in the estimation process. Furthermore, the calculation burden associated with the conventional predictive direct power control technique is reduced using a simplified control methodology. The maximum power point tracking (MPPT) operation is accomplished using the perturb and observe (P&O) method. The proposed control algorithm is validated via simulation results under different atmospheric and operating conditions.
UR - http://www.scopus.com/inward/record.url?scp=85117688404&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85117688404
T3 - PCIM Europe Conference Proceedings
SP - 1340
EP - 1346
BT - PCIM Europe 2021 - International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management
PB - Mesago PCIM GmbH
T2 - 2021 International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, PCIM Europe 2021
Y2 - 3 May 2021 through 7 May 2021
ER -
