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New Diagnosis and Fault-Tolerant Control Strategy for Photovoltaic System
Author(s) -
Hassan Abouobaida,
Younes Abouelmahjoub
Publication year - 2021
Publication title -
international journal of photoenergy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.426
H-Index - 51
eISSN - 1687-529X
pISSN - 1110-662X
DOI - 10.1155/2021/8075165
Subject(s) - backstepping , photovoltaic system , control theory (sociology) , fault (geology) , maximum power point tracking , computer science , lyapunov function , nonlinear system , voltage , engineering , control (management) , inverter , adaptive control , electrical engineering , physics , artificial intelligence , seismology , geology , quantum mechanics
This paper discusses open-circuit fault (OCF) diagnosis and fault-tolerant control strategy (FTCS) of a nonisolated DC-DC converter. The photovoltaic power conversion structure (PPCS) consists of a photovoltaic generator and an interleaved Boost converter (IBC). The maximum power point tracking (MPPT) control of the IBC ensures operation at maximum power. The design of the nonlinear Backstepping control is detailed based on the equivalent average model of IBC, and the stability is studied using Lyapunov’s theorem. The proposed OCF fault detection is based on sampling the voltage across the inductor at a much higher frequency than the switching frequency. In an OCF situation occurrence and a high control signal state, the detection of three negative samples is a condition for signaling the presence of an OCF fault; the photovoltaic system continues its normal operation. The simulation results show the validity of the proposed FTCS. The proposed diagnosis and control strategy improves the performance of the IBC in terms of cost, reliability, and service continuity.

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