Modified Model Predictive Control of a Bidirectional AC-DC Converter Based on Lyapunov Function for Energy Storage Systems

Md Parvez Akter, Saad Mekhilef, Nadia Mei Lin Tan, Hirofumi Akagi

Research output: Contribution to journalArticle

68 Citations (Scopus)

Abstract

Energy storage systems have been widely applied in power distribution sectors as well as in renewable energy sources to ensure uninterruptible power supply. This paper proposes a modified model predictive control (MMPC) method based on the Lyapunov function to improve the performance of a bidirectional ac-dc converter, which is used in an energy storage system for bidirectional power transfer between the three-phase ac voltage supply and energy storage devices. The proposed control technique utilizes the discrete behavior of the converter, considering the unavoidable quantization errors between the controller and the control actions selected from the finite control set of the bidirectional ac-dc converter. The proposed control method reduces the execution time delay by 18% compared with the conventional model predictive control. Moreover, the nonlinear system stability of the proposed MMPC technique is ensured by the direct Lyapunov method and a nonlinear experimental system model. Detailed experimental results with a 2.5-kW downscaled hardware prototype are provided to show the efficacy of the proposed control system.

Original languageEnglish
Article number7265033
Pages (from-to)704-715
Number of pages12
JournalIEEE Transactions on Industrial Electronics
Volume63
Issue number2
DOIs
Publication statusPublished - 01 Feb 2016

Fingerprint

Model predictive control
Lyapunov functions
Energy storage
Uninterruptible power systems
Lyapunov methods
System stability
Nonlinear systems
Time delay
Hardware
Control systems
Controllers
Electric potential

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

@article{6bda0658410447b39ff3278971dbcadd,
title = "Modified Model Predictive Control of a Bidirectional AC-DC Converter Based on Lyapunov Function for Energy Storage Systems",
abstract = "Energy storage systems have been widely applied in power distribution sectors as well as in renewable energy sources to ensure uninterruptible power supply. This paper proposes a modified model predictive control (MMPC) method based on the Lyapunov function to improve the performance of a bidirectional ac-dc converter, which is used in an energy storage system for bidirectional power transfer between the three-phase ac voltage supply and energy storage devices. The proposed control technique utilizes the discrete behavior of the converter, considering the unavoidable quantization errors between the controller and the control actions selected from the finite control set of the bidirectional ac-dc converter. The proposed control method reduces the execution time delay by 18{\%} compared with the conventional model predictive control. Moreover, the nonlinear system stability of the proposed MMPC technique is ensured by the direct Lyapunov method and a nonlinear experimental system model. Detailed experimental results with a 2.5-kW downscaled hardware prototype are provided to show the efficacy of the proposed control system.",
author = "{Parvez Akter}, Md and Saad Mekhilef and Tan, {Nadia Mei Lin} and Hirofumi Akagi",
year = "2016",
month = "2",
day = "1",
doi = "10.1109/TIE.2015.2478752",
language = "English",
volume = "63",
pages = "704--715",
journal = "IEEE Transactions on Industrial Electronics",
issn = "0278-0046",
publisher = "IEEE Industrial Electronics Society",
number = "2",

}

Modified Model Predictive Control of a Bidirectional AC-DC Converter Based on Lyapunov Function for Energy Storage Systems. / Parvez Akter, Md; Mekhilef, Saad; Tan, Nadia Mei Lin; Akagi, Hirofumi.

In: IEEE Transactions on Industrial Electronics, Vol. 63, No. 2, 7265033, 01.02.2016, p. 704-715.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Modified Model Predictive Control of a Bidirectional AC-DC Converter Based on Lyapunov Function for Energy Storage Systems

AU - Parvez Akter, Md

AU - Mekhilef, Saad

AU - Tan, Nadia Mei Lin

AU - Akagi, Hirofumi

PY - 2016/2/1

Y1 - 2016/2/1

N2 - Energy storage systems have been widely applied in power distribution sectors as well as in renewable energy sources to ensure uninterruptible power supply. This paper proposes a modified model predictive control (MMPC) method based on the Lyapunov function to improve the performance of a bidirectional ac-dc converter, which is used in an energy storage system for bidirectional power transfer between the three-phase ac voltage supply and energy storage devices. The proposed control technique utilizes the discrete behavior of the converter, considering the unavoidable quantization errors between the controller and the control actions selected from the finite control set of the bidirectional ac-dc converter. The proposed control method reduces the execution time delay by 18% compared with the conventional model predictive control. Moreover, the nonlinear system stability of the proposed MMPC technique is ensured by the direct Lyapunov method and a nonlinear experimental system model. Detailed experimental results with a 2.5-kW downscaled hardware prototype are provided to show the efficacy of the proposed control system.

AB - Energy storage systems have been widely applied in power distribution sectors as well as in renewable energy sources to ensure uninterruptible power supply. This paper proposes a modified model predictive control (MMPC) method based on the Lyapunov function to improve the performance of a bidirectional ac-dc converter, which is used in an energy storage system for bidirectional power transfer between the three-phase ac voltage supply and energy storage devices. The proposed control technique utilizes the discrete behavior of the converter, considering the unavoidable quantization errors between the controller and the control actions selected from the finite control set of the bidirectional ac-dc converter. The proposed control method reduces the execution time delay by 18% compared with the conventional model predictive control. Moreover, the nonlinear system stability of the proposed MMPC technique is ensured by the direct Lyapunov method and a nonlinear experimental system model. Detailed experimental results with a 2.5-kW downscaled hardware prototype are provided to show the efficacy of the proposed control system.

UR - http://www.scopus.com/inward/record.url?scp=84962383367&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84962383367&partnerID=8YFLogxK

U2 - 10.1109/TIE.2015.2478752

DO - 10.1109/TIE.2015.2478752

M3 - Article

VL - 63

SP - 704

EP - 715

JO - IEEE Transactions on Industrial Electronics

JF - IEEE Transactions on Industrial Electronics

SN - 0278-0046

IS - 2

M1 - 7265033

ER -