Model predictive control of grid-connected inverters for PV systems with flexible power regulation and switching frequency reduction

Jiefeng Hu, Jianguo Zhu, David G. Dorrell

Research output: Journal article publicationJournal articleAcademic researchpeer-review

118 Citations (Scopus)

Abstract

This paper presents a model predictive direct power control strategy for a grid-connected inverter used in a photovoltaic system as found in many distributed generating installations. The controller uses a system model to predict the system behavior at each sampling instant. The voltage vector that generates the least power ripple is selected using a cost function and applied during the next sampling period; thus, flexible power regulation can be achieved. In addition, the influence of a one-step delay in the digital implementation is investigated and compensated for using a model-based prediction scheme. Furthermore, a two-step horizon prediction algorithm is developed to reduce the switching frequency, which is a significant advantage in higher power applications. The effectiveness of the proposed model predictive control strategy was verified numerically by using MATLAB/Simulink and validated experimentally using a laboratory prototype.
Original languageEnglish
Article number6825852
Pages (from-to)587-594
Number of pages8
JournalIEEE Transactions on Industry Applications
Volume51
Issue number1
DOIs
Publication statusPublished - 1 Jan 2015
Externally publishedYes

Keywords

  • Inverters
  • Model predictive control (MPC)
  • Power regulation
  • Switching frequency reduction

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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