Algerian Journal of Electrical Systems and Sustainability

Advanced Control Strategies For Grid-connected Photovoltaic Converters: Mpc, Sliding Mode And Fuzzy Logic Approaches

Auteurs : Krim Fateh . Krim Salah Anis .

Résumé

Grid-connected photovoltaic (PV) converters are now required to operate as controllable grid interfaces rather than as simple energy-injection units. Their controllers must coordinate maximum-power extraction, dc-link regulation, grid-current or direct-power control, multilevel voltage balancing, and operation under non-ideal grid conditions. This paper provides a focused narrative review of three advanced control families used in this context: model predictive control (MPC), sliding mode control (SMC), and fuzzy logic control (FLC). In response to the need for a more traceable synthesis, the review explicitly defines its scope, distinguishes the main control tasks, and relates the qualitative comparisons to representative studies. The discussion shows that MPC is most convincing when constraints, switching-state selection, or multilevel balancing dominate the problem; SMC is attractive when robustness against uncertainty and fast disturbances is central, provided that chattering, sampling, and filter resonance are treated carefully; and FLC is most defensible either for MPPT or as a supervisory/adaptive layer for gain or weighting-factor tuning. Hybrid approaches are promising, but their value should be assessed against well-tuned simpler controllers and under documented hardware or real-time simulation conditions. The paper concludes with practical guidelines for future validation of advanced PV converter controllers.

Mots clés

Grid-connected photovoltaic systems ; Model predictive control ; Sliding mode control ; Fuzzy logic control ; Hybrid control ; LCL filter ; Weak grid ; MPPT ; Power quality