Open AccessA comprehensive review on time‐delay compensation techniques for grid‐connected inverters
Author(s) -
Elhassan Garba,
Zulkifli Shamsul Aizam,
Pathan Erum,
Khan Mubashir H.,
Jackson Ronald
Publication year - 2021
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
eISSN - 1752-1424
pISSN - 1752-1416
DOI - 10.1049/rpg2.12033
Subject(s) - inverter , computer science , robustness (evolution) , compensation (psychology) , smith predictor , grid , control theory (sociology) , digital control , controller (irrigation) , electronic engineering , control engineering , pid controller , control (management) , engineering , voltage , electrical engineering , mathematics , artificial intelligence , psychoanalysis , temperature control , chemistry , biology , psychology , biochemistry , geometry , agronomy , gene
The control of grid‐connected inverters is recently executed with digital microprocessors due to the advances in digital signal processing technology. However, the digital realisation has a drawback of the phase lag induced by the time‐delay. This phase lag challenges the stability and robustness of the controller of the inverters. In view of the challenge, this paper presents a comprehensive review of time‐delay compensation techniques employed in both model‐free (MF), and model‐based (MB) controls of an inverter in grid connection. MF techniques mainly use proportional‐integral, and proportional resonance controllers with some techniques to reduce time‐delay. Meanwhile, for MB, this paper discusses the commonly used control techniques, which are the Smith predictor, modified Smith predictor, deadbeat controller and model predictive controller. Several related techniques from the literature that have been adopted to mitigate the delays are tabulated comprehensively, and critical issues regarding the MF and MB techniques are also discussed. Finally, this paper presents a hypothesis on which technique is superior at present and suggests a hybrid technique from the MF and MB techniques to give readers a direction for further research.