NDLI: Model predictive controller for single-phase distributed generator with seamless transition between grid and off-grid modes

Content Provider	IET Digital Library
Author	Sekhar, Perumalla Chandra Tupakula, Ratna Rahul
Abstract	This study develops a model predictive controller for single-phase distributed generator with seamless transition between the grid and off-grid modes of operation. In addition, a simple synchronisation mechanism is developed to achieve the smooth transition between the grid and off-grid modes, thereby avoiding the complex multi-loop controls. The voltage vectors, hence the switching pulses are generated by using space vector modulation technique based on the minimisation of the cost function of the predictive model. The two cost functions considered are instantaneous power errors and instantaneous voltage errors, respectively, for the grid and islanded operation of the single-phase generator. The performance of the developed controller for feeding the set-point powers in grid connected mode and serving the load at nominal voltage and frequency in off-grid mode is verified using simulations. The simulation results are experimentally validated on a prototype.
Starting Page	1829
Ending Page	1837
Page Count	9
ISSN	17518687
Volume Number	13
e-ISSN	17518695
Issue Number	Issue 10, May (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/13/10
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2018.6345
Journal	IET Generation, Transmission & Distribution
Publisher Date	2019-02-11
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Complex Multiloop Controls Control of Electric Power System Distributed Power Generation Grid Connected Mode Model Predictive Controller Off-grid Mode Optimal Control Power Generation Control Power Grid Power System Control Predictive Control Seamless Transition Single-phase Distributed Generator Space Vector Modulation Synchronisation
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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