Open AccessTransient behaviour verification and controller tuning for an uncertain grid‐connected photovoltaic system using reachability analysis
Author(s) -
Shabestari Parisa M.,
MehriziSani Ali
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/rpg2.12212
Subject(s) - reachability , photovoltaic system , transient (computer programming) , transient analysis , control theory (sociology) , grid , computer science , controller (irrigation) , control engineering , transient response , engineering , mathematics , control (management) , electrical engineering , algorithm , operating system , artificial intelligence , agronomy , geometry , biology
Power electronics–based converters for photovoltaic (PV) systems are susceptible to overcurrents; it is important to design their controllers to reduce the transient current for all viable operating conditions. To design a current controller and find the maximum transient current via simulation‐based techniques, the exact values of the system parameters, initial states, and inputs are required. However, they are not precisely known in practice, some system parameters such as inductances may change over time, and output power and load are variable. The uncertainty in the parameter (filter inductance) and input of the system (injected power) should be considered in the analysis of a PV system controllers as it can degrade their performance, which are designed for the system nominal parameters. This paper employs reachability analysis for a grid‐connected PV system to (1) find the maximum transient current, (2) devise an improved PI current controller and (3) compare the maximum transient current in PI‐ and internal model control (IMC)‐based controllers with uncertain‐but‐bounded input power and inductance error. Simulation and experimental studies showcase the results.