Grid Frequency Estimation based on Extended Kalman Filter in Connected AC Microgrids

Harold R. Chamorro; A.-J.  Guel-Cortez; Yessica Africano; Fernando  Jimenez; Reinaldo Tonkoski; Wilmar Martinez

doi:10.1109/ISIE45552.2021.9576275

Grid Frequency Estimation based on Extended Kalman Filter in Connected AC Microgrids

Harold R. Chamorro, A.-J. Guel-Cortez, Yessica Africano, Fernando Jimenez, Reinaldo Tonkoski, Wilmar Martinez

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

4 Citations (Scopus)

Abstract

The lack of rotational inertia requires fast action for frequency control, thus measurements delays can create instabilities or make the controller ineffective. This is a challenge for grid-connected Microgrids whose frequency requires to be adequately monitored and maintained under operationally margins. Generally, in a power system, the strongest generators are the ones capable of maintaining the frequency of the system, however, when having distributed resources it is harder to keep such frequency between a secure threshold. Therefore, estimating frequency values in a short period of time becomes a helpful feature in this new structure of power systems. This work discusses the Extended Kalman Filter (EKF) application for grid frequency estimation in AC connected microgrids by using a simple second order model. Furthermore, the EKF is used for forecasting the nadir according to the sample time variation. A microgrid benchmark is developed and tested under several load scenarios to test the frequency estimation process.

Original language	English
Title of host publication	2021 IEEE 30th International Symposium on Industrial Electronics (ISIE)
Publisher	IEEE
Number of pages	6
ISBN (Electronic)	978-1-7281-9023-5
DOIs	https://doi.org/10.1109/ISIE45552.2021.9576275
Publication status	Published - 13 Nov 2021
Event	IEEE 30th International Symposium on Industrial Electronics (ISIE) - Online Duration: 20 Jun 2021 → 23 Jun 2021 Conference number: 30 https://www.isie2021.org/

Publication series

Name
ISSN (Electronic)	2163-5145

Conference

Conference	IEEE 30th International Symposium on Industrial Electronics (ISIE)
Period	20/06/21 → 23/06/21
Internet address	https://www.isie2021.org/

Keywords

Connected Microgrids
Distributed Generation
Extended Kalman Filter
Frequency Control

ASJC Scopus subject areas

Electrical and Electronic Engineering
Control and Systems Engineering

Access to Document

10.1109/ISIE45552.2021.9576275

Cite this

Chamorro, HR, Guel-Cortez, A-J, Africano, Y, Jimenez, F, Tonkoski, R & Martinez, W 2021, Grid Frequency Estimation based on Extended Kalman Filter in Connected AC Microgrids. in 2021 IEEE 30th International Symposium on Industrial Electronics (ISIE). IEEE, IEEE 30th International Symposium on Industrial Electronics (ISIE), 20/06/21. https://doi.org/10.1109/ISIE45552.2021.9576275

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title = "Grid Frequency Estimation based on Extended Kalman Filter in Connected AC Microgrids",

abstract = "The lack of rotational inertia requires fast action for frequency control, thus measurements delays can create instabilities or make the controller ineffective. This is a challenge for grid-connected Microgrids whose frequency requires to be adequately monitored and maintained under operationally margins. Generally, in a power system, the strongest generators are the ones capable of maintaining the frequency of the system, however, when having distributed resources it is harder to keep such frequency between a secure threshold. Therefore, estimating frequency values in a short period of time becomes a helpful feature in this new structure of power systems. This work discusses the Extended Kalman Filter (EKF) application for grid frequency estimation in AC connected microgrids by using a simple second order model. Furthermore, the EKF is used for forecasting the nadir according to the sample time variation. A microgrid benchmark is developed and tested under several load scenarios to test the frequency estimation process.",

keywords = "Connected Microgrids, Distributed Generation, Extended Kalman Filter, Frequency Control",

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T1 - Grid Frequency Estimation based on Extended Kalman Filter in Connected AC Microgrids

AU - Chamorro, Harold R.

AU - Guel-Cortez, A.-J.

AU - Africano, Yessica

AU - Jimenez, Fernando

AU - Tonkoski, Reinaldo

AU - Martinez, Wilmar

N1 - Conference code: 30

PY - 2021/11/13

Y1 - 2021/11/13

N2 - The lack of rotational inertia requires fast action for frequency control, thus measurements delays can create instabilities or make the controller ineffective. This is a challenge for grid-connected Microgrids whose frequency requires to be adequately monitored and maintained under operationally margins. Generally, in a power system, the strongest generators are the ones capable of maintaining the frequency of the system, however, when having distributed resources it is harder to keep such frequency between a secure threshold. Therefore, estimating frequency values in a short period of time becomes a helpful feature in this new structure of power systems. This work discusses the Extended Kalman Filter (EKF) application for grid frequency estimation in AC connected microgrids by using a simple second order model. Furthermore, the EKF is used for forecasting the nadir according to the sample time variation. A microgrid benchmark is developed and tested under several load scenarios to test the frequency estimation process.

AB - The lack of rotational inertia requires fast action for frequency control, thus measurements delays can create instabilities or make the controller ineffective. This is a challenge for grid-connected Microgrids whose frequency requires to be adequately monitored and maintained under operationally margins. Generally, in a power system, the strongest generators are the ones capable of maintaining the frequency of the system, however, when having distributed resources it is harder to keep such frequency between a secure threshold. Therefore, estimating frequency values in a short period of time becomes a helpful feature in this new structure of power systems. This work discusses the Extended Kalman Filter (EKF) application for grid frequency estimation in AC connected microgrids by using a simple second order model. Furthermore, the EKF is used for forecasting the nadir according to the sample time variation. A microgrid benchmark is developed and tested under several load scenarios to test the frequency estimation process.

KW - Connected Microgrids

KW - Distributed Generation

KW - Extended Kalman Filter

KW - Frequency Control

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M3 - Conference proceeding

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PB - IEEE

T2 - IEEE 30th International Symposium on Industrial Electronics (ISIE)

Y2 - 20 June 2021 through 23 June 2021

ER -

Grid Frequency Estimation based on Extended Kalman Filter in Connected AC Microgrids

Abstract

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Keywords

ASJC Scopus subject areas

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