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: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

6 Citations (Scopus)


This paper presents a model-predictive direct power control (MPDPC) strategy for a grid-connected inverter used in a PV system. Thus is aimed at use in distributed generation. The controller uses a system model to predict the system behavior at each sampling instant. The voltage vector generating least power ripples will then be selected according to a cost function and applied during the next sampling period, thus flexible power regulation can be achieved. In addition, the influences of one-step delay in digital implementation is investigated and compensated using a model based prediction scheme. Furthermore, a switching frequency reduction algorithm is developed by adding a nonlinear constraint to the cost function, which is a significant advantage in higher-power applications. The effectiveness of the proposed MPC strategy was verified numerically by using MATLAB/Simulink, and validated experimentally using a laboratory prototype.
Original languageEnglish
Title of host publication2013 IEEE Energy Conversion Congress and Exposition, ECCE 2013
Number of pages7
Publication statusPublished - 31 Dec 2013
Externally publishedYes
Event5th Annual IEEE Energy Conversion Congress and Exhibition, ECCE 2013 - Denver, CO, United States
Duration: 15 Sep 201319 Sep 2013


Conference5th Annual IEEE Energy Conversion Congress and Exhibition, ECCE 2013
Country/TerritoryUnited States
CityDenver, CO

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Fuel Technology

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