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Integrated predictive control and fault diagnosis algorithm for single inductor-based DC-DC converters for photovoltaic systems

Venkateswaran M. (Department of Electrical and Electronics Engineering, R.M.D Engineering College, Chennai, India)
Govindaraju C. (Department of Electrical and Electronics Engineering, Government College of Engineering, Salem, India)
Santhosh T.K. (School of Electrical and Electronics Engineering, SASTRA University, Trichy, India)

Circuit World

ISSN: 0305-6120

Article publication date: 5 June 2020

124

Abstract

Purpose

Power converters are an integral part of the energy conversion process in solar photovoltaic (PV) systems which is used to match the solar PV generation with the load requirements. The increased penetration of renewable invokes intermittency in the generated power affecting the reliability and continuous energy supply of such converters. DC-DC converters deployed in solar PV systems impose stringent restrictions on supplied power, continuous operation and fault prediction scenarios by continuously observing state variables to ensure continuous operation of the converter.

Design/methodology/approach

A converter deployed for a mission-critical application has to ensure continuous regulated output for which the converter has to ensure fault-free operation. The fault diagnostic algorithm relies on the measurement of a state variable to assess the type of fault. In the same line, a predictive controller depends on the measurement of a state variable to predict the control variable of a converter system to regulate the converter output around a fixed or a variable reference. Consequently, both the fault diagnosis and the predictive control algorithms depend on the measurement of a state variable. Once measured, the available data can be used for both algorithms interchangeably.

Findings

The objective of this work is to integrate the fault diagnostic and the predictive control algorithms while sharing the measurement requirements of both these control algorithms. The integrated algorithms thus proposed could be applied to any converter with a single inductor in its energy buffer stage.

Originality/value

laboratory prototype is created to verify the feasibility of the integrated predictive control and fault diagnosis algorithm. As the proposed method combine the fault detection algorithm along with predictive control, a load step variation and manual fault creation methods are used to verify the feasibility of the converter as with the simulation analysis. The value for the capacitors and inductors were chosen based on the charge-second and volt-second balance equations obtained from the steady-state analysis of boost converter.

Keywords

Citation

M., V., C., G. and T.K., S. (2020), "Integrated predictive control and fault diagnosis algorithm for single inductor-based DC-DC converters for photovoltaic systems", Circuit World, Vol. 47 No. 1, pp. 105-116. https://doi.org/10.1108/CW-11-2019-0166

Publisher

:

Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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