A Fast Predictive Reference Current Generation Algorithm for Shunt APF in der Integrated Network

Sandipan Patra; Shafi Khadem; Malabika Basu; Hasan Komurcugil; Sertac Bayhan

doi:10.1109/SGRE53517.2022.9774176

A Fast Predictive Reference Current Generation Algorithm for Shunt APF in der Integrated Network

Sandipan Patra
, Shafi Khadem
, Malabika Basu
, Hasan Komurcugil
, Sertac Bayhan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In order to improve the compensating capabilities of shunt active power filters (APF) coupled with renewable energy integrated microgrid network, this research offers a Recursive Least Square Bacterial Foraging optimization (RLSBFO) based estimation approach for the reference current generation. The suggested approach can improve the compensation of current harmonics in a selective/collective (global) manner. Furthermore, the RLS-BFO-based reference generation approach eliminates the necessity for a PLL based synchronization circuit, which helps to reduce computation latency. The instantaneous active and reactive power theory (PQ theory) and the Kalman filter-based estimation approach are also implemented and compared to assess the suggested controller's effectiveness. The MATLAB based simulation results, followed by the quantitative analysis demonstrate the efficacy of the estimation algorithm.

Original language	English
Title of host publication	3rd International Conference on Smart Grid and Renewable Energy, SGRE 2022 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665479080
DOIs	https://doi.org/10.1109/SGRE53517.2022.9774176
Publication status	Published - 2022
Event	3rd International Conference on Smart Grid and Renewable Energy, SGRE 2022 - Doha, Qatar Duration: 20 Mar 2022 → 22 Mar 2022

Publication series

Name	3rd International Conference on Smart Grid and Renewable Energy, SGRE 2022 - Proceedings

Conference

Conference	3rd International Conference on Smart Grid and Renewable Energy, SGRE 2022
Country/Territory	Qatar
City	Doha
Period	20/03/22 → 22/03/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Harmonics Estimation
Microgrid
Power Quality
Shunt Active Power Filter

Access to Document

10.1109/SGRE53517.2022.9774176Licence: Unspecified

Cite this

Patra, S., Khadem, S., Basu, M., Komurcugil, H., & Bayhan, S. (2022). A Fast Predictive Reference Current Generation Algorithm for Shunt APF in der Integrated Network. In 3rd International Conference on Smart Grid and Renewable Energy, SGRE 2022 - Proceedings (3rd International Conference on Smart Grid and Renewable Energy, SGRE 2022 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SGRE53517.2022.9774176

Patra, Sandipan ; Khadem, Shafi ; Basu, Malabika et al. / A Fast Predictive Reference Current Generation Algorithm for Shunt APF in der Integrated Network. 3rd International Conference on Smart Grid and Renewable Energy, SGRE 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2022. (3rd International Conference on Smart Grid and Renewable Energy, SGRE 2022 - Proceedings).

@inproceedings{5b7f59da576e443aa7e059491a1455c6,

title = "A Fast Predictive Reference Current Generation Algorithm for Shunt APF in der Integrated Network",

abstract = "In order to improve the compensating capabilities of shunt active power filters (APF) coupled with renewable energy integrated microgrid network, this research offers a Recursive Least Square Bacterial Foraging optimization (RLSBFO) based estimation approach for the reference current generation. The suggested approach can improve the compensation of current harmonics in a selective/collective (global) manner. Furthermore, the RLS-BFO-based reference generation approach eliminates the necessity for a PLL based synchronization circuit, which helps to reduce computation latency. The instantaneous active and reactive power theory (PQ theory) and the Kalman filter-based estimation approach are also implemented and compared to assess the suggested controller's effectiveness. The MATLAB based simulation results, followed by the quantitative analysis demonstrate the efficacy of the estimation algorithm.",

keywords = "Harmonics Estimation, Microgrid, Power Quality, Shunt Active Power Filter",

author = "Sandipan Patra and Shafi Khadem and Malabika Basu and Hasan Komurcugil and Sertac Bayhan",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 3rd International Conference on Smart Grid and Renewable Energy, SGRE 2022 ; Conference date: 20-03-2022 Through 22-03-2022",

year = "2022",

doi = "10.1109/SGRE53517.2022.9774176",

language = "English",

series = "3rd International Conference on Smart Grid and Renewable Energy, SGRE 2022 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "3rd International Conference on Smart Grid and Renewable Energy, SGRE 2022 - Proceedings",

address = "United States",

}

Patra, S, Khadem, S, Basu, M, Komurcugil, H & Bayhan, S 2022, A Fast Predictive Reference Current Generation Algorithm for Shunt APF in der Integrated Network. in 3rd International Conference on Smart Grid and Renewable Energy, SGRE 2022 - Proceedings. 3rd International Conference on Smart Grid and Renewable Energy, SGRE 2022 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 3rd International Conference on Smart Grid and Renewable Energy, SGRE 2022, Doha, Qatar, 20/03/22. https://doi.org/10.1109/SGRE53517.2022.9774176

A Fast Predictive Reference Current Generation Algorithm for Shunt APF in der Integrated Network. / Patra, Sandipan; Khadem, Shafi; Basu, Malabika et al.
3rd International Conference on Smart Grid and Renewable Energy, SGRE 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2022. (3rd International Conference on Smart Grid and Renewable Energy, SGRE 2022 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A Fast Predictive Reference Current Generation Algorithm for Shunt APF in der Integrated Network

AU - Patra, Sandipan

AU - Khadem, Shafi

AU - Basu, Malabika

AU - Komurcugil, Hasan

AU - Bayhan, Sertac

PY - 2022

Y1 - 2022

N2 - In order to improve the compensating capabilities of shunt active power filters (APF) coupled with renewable energy integrated microgrid network, this research offers a Recursive Least Square Bacterial Foraging optimization (RLSBFO) based estimation approach for the reference current generation. The suggested approach can improve the compensation of current harmonics in a selective/collective (global) manner. Furthermore, the RLS-BFO-based reference generation approach eliminates the necessity for a PLL based synchronization circuit, which helps to reduce computation latency. The instantaneous active and reactive power theory (PQ theory) and the Kalman filter-based estimation approach are also implemented and compared to assess the suggested controller's effectiveness. The MATLAB based simulation results, followed by the quantitative analysis demonstrate the efficacy of the estimation algorithm.

AB - In order to improve the compensating capabilities of shunt active power filters (APF) coupled with renewable energy integrated microgrid network, this research offers a Recursive Least Square Bacterial Foraging optimization (RLSBFO) based estimation approach for the reference current generation. The suggested approach can improve the compensation of current harmonics in a selective/collective (global) manner. Furthermore, the RLS-BFO-based reference generation approach eliminates the necessity for a PLL based synchronization circuit, which helps to reduce computation latency. The instantaneous active and reactive power theory (PQ theory) and the Kalman filter-based estimation approach are also implemented and compared to assess the suggested controller's effectiveness. The MATLAB based simulation results, followed by the quantitative analysis demonstrate the efficacy of the estimation algorithm.

KW - Harmonics Estimation

KW - Microgrid

KW - Power Quality

KW - Shunt Active Power Filter

UR - https://www.scopus.com/pages/publications/85130978289

U2 - 10.1109/SGRE53517.2022.9774176

DO - 10.1109/SGRE53517.2022.9774176

M3 - Conference contribution

AN - SCOPUS:85130978289

T3 - 3rd International Conference on Smart Grid and Renewable Energy, SGRE 2022 - Proceedings

BT - 3rd International Conference on Smart Grid and Renewable Energy, SGRE 2022 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd International Conference on Smart Grid and Renewable Energy, SGRE 2022

Y2 - 20 March 2022 through 22 March 2022

ER -

Patra S, Khadem S, Basu M, Komurcugil H, Bayhan S. A Fast Predictive Reference Current Generation Algorithm for Shunt APF in der Integrated Network. In 3rd International Conference on Smart Grid and Renewable Energy, SGRE 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2022. (3rd International Conference on Smart Grid and Renewable Energy, SGRE 2022 - Proceedings). doi: 10.1109/SGRE53517.2022.9774176

A Fast Predictive Reference Current Generation Algorithm for Shunt APF in der Integrated Network

Abstract

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UN SDGs

Keywords

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