Computationally Efficient Distributed Predictive Controller for Cascaded Multilevel Impedance Source Inverter with LVRT Capability

Mitchell Easley, Sarthak Jain, Mohammad B. Shadmand, Haitham Abu-Rub

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

This paper presents a decoupled active and reactive power control scheme for grid-tied quasi-impedance source cascaded multilevel inverter (qZS-CMI). For photovoltaic (PV) applications, the proposed control scheme is based on an enhanced finite-set model predictive control (MPC) to harvest the desired active power from the PV modules with the ability to provide the ancillary services for the grid. The proposed control scheme has two modes of operation: normal grid mode and low voltage ride through (LVRT) mode. In normal grid mode, the controller commands the qZS-CMI to operate at the global maximum power point (MPP). The proposed technique regulates the impedance network's current and voltage according to the MPP of PV strings and grid current/voltage requirements. In LVRT mode, the controller commands the qZS-CMI to provide the required reactive power to the grid during voltage sags as an ancillary service from the inverter as imposed by the grid codes. The main features of the proposed system include the global MPP operation during normal grid condition, LVRT capability during a grid voltage sag, mitigation of the PV modules mismatch effect on overall energy harvesting, seamless transition between a normal grid and LVRT modes of operation, and an efficient predictive controller that exploits the model redundancies in the control objectives. Several real-time experiments are conducted to verify the system performance with transients in both the solar irradiance and the grid voltage.

Original languageEnglish
Article number8665900
Pages (from-to)35731-35742
Number of pages12
JournalIEEE Access
Volume7
DOIs
Publication statusPublished - 1 Jan 2019

Fingerprint

Controllers
Electric potential
Reactive power
Energy harvesting
Model predictive control
Power control
Redundancy
Experiments

Keywords

  • Impedance source inverter
  • LVRT
  • model predictive control
  • photovoltaic systems
  • reactive power compensator

ASJC Scopus subject areas

  • Computer Science(all)
  • Materials Science(all)
  • Engineering(all)

Cite this

Computationally Efficient Distributed Predictive Controller for Cascaded Multilevel Impedance Source Inverter with LVRT Capability. / Easley, Mitchell; Jain, Sarthak; Shadmand, Mohammad B.; Abu-Rub, Haitham.

In: IEEE Access, Vol. 7, 8665900, 01.01.2019, p. 35731-35742.

Research output: Contribution to journalArticle

@article{944f6dbfa3d24d45b44a3d9a3a2815fc,
title = "Computationally Efficient Distributed Predictive Controller for Cascaded Multilevel Impedance Source Inverter with LVRT Capability",
abstract = "This paper presents a decoupled active and reactive power control scheme for grid-tied quasi-impedance source cascaded multilevel inverter (qZS-CMI). For photovoltaic (PV) applications, the proposed control scheme is based on an enhanced finite-set model predictive control (MPC) to harvest the desired active power from the PV modules with the ability to provide the ancillary services for the grid. The proposed control scheme has two modes of operation: normal grid mode and low voltage ride through (LVRT) mode. In normal grid mode, the controller commands the qZS-CMI to operate at the global maximum power point (MPP). The proposed technique regulates the impedance network's current and voltage according to the MPP of PV strings and grid current/voltage requirements. In LVRT mode, the controller commands the qZS-CMI to provide the required reactive power to the grid during voltage sags as an ancillary service from the inverter as imposed by the grid codes. The main features of the proposed system include the global MPP operation during normal grid condition, LVRT capability during a grid voltage sag, mitigation of the PV modules mismatch effect on overall energy harvesting, seamless transition between a normal grid and LVRT modes of operation, and an efficient predictive controller that exploits the model redundancies in the control objectives. Several real-time experiments are conducted to verify the system performance with transients in both the solar irradiance and the grid voltage.",
keywords = "Impedance source inverter, LVRT, model predictive control, photovoltaic systems, reactive power compensator",
author = "Mitchell Easley and Sarthak Jain and Shadmand, {Mohammad B.} and Haitham Abu-Rub",
year = "2019",
month = "1",
day = "1",
doi = "10.1109/ACCESS.2019.2904392",
language = "English",
volume = "7",
pages = "35731--35742",
journal = "IEEE Access",
issn = "2169-3536",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - JOUR

T1 - Computationally Efficient Distributed Predictive Controller for Cascaded Multilevel Impedance Source Inverter with LVRT Capability

AU - Easley, Mitchell

AU - Jain, Sarthak

AU - Shadmand, Mohammad B.

AU - Abu-Rub, Haitham

PY - 2019/1/1

Y1 - 2019/1/1

N2 - This paper presents a decoupled active and reactive power control scheme for grid-tied quasi-impedance source cascaded multilevel inverter (qZS-CMI). For photovoltaic (PV) applications, the proposed control scheme is based on an enhanced finite-set model predictive control (MPC) to harvest the desired active power from the PV modules with the ability to provide the ancillary services for the grid. The proposed control scheme has two modes of operation: normal grid mode and low voltage ride through (LVRT) mode. In normal grid mode, the controller commands the qZS-CMI to operate at the global maximum power point (MPP). The proposed technique regulates the impedance network's current and voltage according to the MPP of PV strings and grid current/voltage requirements. In LVRT mode, the controller commands the qZS-CMI to provide the required reactive power to the grid during voltage sags as an ancillary service from the inverter as imposed by the grid codes. The main features of the proposed system include the global MPP operation during normal grid condition, LVRT capability during a grid voltage sag, mitigation of the PV modules mismatch effect on overall energy harvesting, seamless transition between a normal grid and LVRT modes of operation, and an efficient predictive controller that exploits the model redundancies in the control objectives. Several real-time experiments are conducted to verify the system performance with transients in both the solar irradiance and the grid voltage.

AB - This paper presents a decoupled active and reactive power control scheme for grid-tied quasi-impedance source cascaded multilevel inverter (qZS-CMI). For photovoltaic (PV) applications, the proposed control scheme is based on an enhanced finite-set model predictive control (MPC) to harvest the desired active power from the PV modules with the ability to provide the ancillary services for the grid. The proposed control scheme has two modes of operation: normal grid mode and low voltage ride through (LVRT) mode. In normal grid mode, the controller commands the qZS-CMI to operate at the global maximum power point (MPP). The proposed technique regulates the impedance network's current and voltage according to the MPP of PV strings and grid current/voltage requirements. In LVRT mode, the controller commands the qZS-CMI to provide the required reactive power to the grid during voltage sags as an ancillary service from the inverter as imposed by the grid codes. The main features of the proposed system include the global MPP operation during normal grid condition, LVRT capability during a grid voltage sag, mitigation of the PV modules mismatch effect on overall energy harvesting, seamless transition between a normal grid and LVRT modes of operation, and an efficient predictive controller that exploits the model redundancies in the control objectives. Several real-time experiments are conducted to verify the system performance with transients in both the solar irradiance and the grid voltage.

KW - Impedance source inverter

KW - LVRT

KW - model predictive control

KW - photovoltaic systems

KW - reactive power compensator

UR - http://www.scopus.com/inward/record.url?scp=85063930434&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85063930434&partnerID=8YFLogxK

U2 - 10.1109/ACCESS.2019.2904392

DO - 10.1109/ACCESS.2019.2904392

M3 - Article

AN - SCOPUS:85063930434

VL - 7

SP - 35731

EP - 35742

JO - IEEE Access

JF - IEEE Access

SN - 2169-3536

M1 - 8665900

ER -