Evaluation of the Main Control Strategies for Grid-Connected PV Systems

Mostafa Ahmed (), Ibrahim Harbi, Ralph Kennel, José Rodríguez and Mohamed Abdelrahem ()
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Mostafa Ahmed: Chair of High-Power Converter Systems (HLU), Technical University of Munich (TUM), 80333 Munich, Germany
Ibrahim Harbi: Chair of High-Power Converter Systems (HLU), Technical University of Munich (TUM), 80333 Munich, Germany
Ralph Kennel: Chair of High-Power Converter Systems (HLU), Technical University of Munich (TUM), 80333 Munich, Germany
José Rodríguez: Faculty of Engineering, Universidad San Sebastian, Santiago 8370146, Chile
Mohamed Abdelrahem: Chair of High-Power Converter Systems (HLU), Technical University of Munich (TUM), 80333 Munich, Germany

Sustainability, 2022, vol. 14, issue 18, 1-20

Abstract: The present study aims at analyzing and assessing the performance of grid-connected photovoltaic (PV) systems, where the considered arrangement is the two-stage PV system. Normally, the maximum power point tracking (MPPT) process is utilized in the first stage of this topology (DC-DC). Furthermore, the active and reactive power control procedure is accomplished in the second stage (DC-AC). Different control strategies have been discussed in the literature for grid integration of the PV systems. However, we present the main techniques, which are considered the commonly utilized and effective methods to control such system. In this regard, and for MPPT, popularly the perturb and observe (P&O) and incremental conductance (INC) are employed to extract the maximum power from the PV source. Moreover, and to improve the performance of the aforementioned methods, an adaptive step can be utilized to enhance the steady-state response. For the inversion stage, the well-known and benchmarking technique voltage-oriented control, the dead-beat method, and the model predictive control algorithms will be discussed and evaluated using experimental tests. The robustness against parameters variation is considered and an extended Kalman filter (EKF) is used to estimate the system’s parameters. Future scope and directions for the research in this area are also addressed.

Keywords: PV systems; maximum power point tracking; active and reactive power control; robustness assessment; extended Kalman filter estimation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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