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Finite control set model predictive controller for grid connected inverter design

Authors: Fadia Sebaaly; Hani Vahedi; Hadi Youssef Kanaan; Nazih Moubayed; Kamal Al-Haddad;

Finite control set model predictive controller for grid connected inverter design

Abstract

The grid connectivity requirements imposed today, ask for an accurate controller design able to deal with system constraints and nonlinearities. In order to fulfill grid international standards, this paper details a Finite control set model predictive controller called FCS-MPC as part of controlling an energy conversion system. It uses a discrete time 3L-NPC inverter model (in the α-β frame) to predict the future values of the injected current and DC capacitors voltages. Switching pulses are chosen to ensure the optimum errors between the controlled variables and its desired values. Simulations results for both one-step and two-step horizon have been introduced to verify system robustness and dynamic response against variations of the DC link voltage, AC side current/voltage and reactive power. Low current-distortion levels with an arbitrary power factor prove the system performance when a two-step horizon control algorithm is adopted.

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
17
Top 10%
Top 10%
Top 10%
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