Load Frequency Analysis Using Optimal Virtual Inertia and SMES Considering A Random Load

Tanzi Ahmed Chowdhury; Abhishak Dhar; Md Shafiul Alam; Fahad Saleh Al-Ismail; Md Aasim Ullah

doi:10.1109/ECCE57851.2023.10101617

Load Frequency Analysis Using Optimal Virtual Inertia and SMES Considering A Random Load

Tanzi Ahmed Chowdhury, Abhishak Dhar, Md Shafiul Alam, Fahad Saleh Al-Ismail, Md Aasim Ullah

Applied Research Center for Environment and Marine Studies

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

3 Scopus citations

Abstract

Renewable energy sources (RESs) are getting prominence due to the scarcity of fossil fuels. On the other hand, most RESs are connected to the grid through inverters or converters, which are power electronic interfaces. Utilizing converters and inverters will significantly decrease the power system's inertia due to the absence of rotating mass. As a result, the use of advanced technologies to achieve and maintain frequency stability is essential in power systems. This work proposes two new control coordination i) virtual inertia and ii) superconducting magnetic energy storage (SMES) of load frequency control (LFC) along with a PI controller. Since SMES technology and virtual inertia are both effective energy storage systems and frequency stabilizers, respectively, this research develops two controllers to emulate inertia utilizing SMES. The mathematical model is developed to facilitate control design and implementation in simulation platform. The developed techniques show better performance in reducing the frequency deviation of highly RESs integrated system. Three loads are considered in this study to check the stability and effectiveness of the proposed control coordination. Determining the best approach by analyzing the two controllers individual outputs is one of this work's main purposes.

Original language	English
Title of host publication	3rd International Conference on Electrical, Computer and Communication Engineering, ECCE 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350345360
DOIs	https://doi.org/10.1109/ECCE57851.2023.10101617
State	Published - 2023
Event	3rd International Conference on Electrical, Computer and Communication Engineering, ECCE 2023 - Chittagong, Bangladesh Duration: 23 Feb 2023 → 25 Feb 2023

Publication series

Name	3rd International Conference on Electrical, Computer and Communication Engineering, ECCE 2023

Conference

Conference	3rd International Conference on Electrical, Computer and Communication Engineering, ECCE 2023
Country/Territory	Bangladesh
City	Chittagong
Period	23/02/23 → 25/02/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

Frequency stability
Load frequency control (LFC)
Micro-grid
Power imbalance
RESs
Rate of change of frequency (ROCOF)
SMES
Virtual inertia
Wind power

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Computer Science Applications
Hardware and Architecture
Electrical and Electronic Engineering

UN SDGs

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

Access to Document

10.1109/ECCE57851.2023.10101617

Cite this

Chowdhury, T. A., Dhar, A., Alam, M. S., Al-Ismail, F. S., & Ullah, M. A. (2023). Load Frequency Analysis Using Optimal Virtual Inertia and SMES Considering A Random Load. In 3rd International Conference on Electrical, Computer and Communication Engineering, ECCE 2023 (3rd International Conference on Electrical, Computer and Communication Engineering, ECCE 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECCE57851.2023.10101617

Chowdhury, Tanzi Ahmed ; Dhar, Abhishak ; Alam, Md Shafiul et al. / Load Frequency Analysis Using Optimal Virtual Inertia and SMES Considering A Random Load. 3rd International Conference on Electrical, Computer and Communication Engineering, ECCE 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (3rd International Conference on Electrical, Computer and Communication Engineering, ECCE 2023).

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abstract = "Renewable energy sources (RESs) are getting prominence due to the scarcity of fossil fuels. On the other hand, most RESs are connected to the grid through inverters or converters, which are power electronic interfaces. Utilizing converters and inverters will significantly decrease the power system's inertia due to the absence of rotating mass. As a result, the use of advanced technologies to achieve and maintain frequency stability is essential in power systems. This work proposes two new control coordination i) virtual inertia and ii) superconducting magnetic energy storage (SMES) of load frequency control (LFC) along with a PI controller. Since SMES technology and virtual inertia are both effective energy storage systems and frequency stabilizers, respectively, this research develops two controllers to emulate inertia utilizing SMES. The mathematical model is developed to facilitate control design and implementation in simulation platform. The developed techniques show better performance in reducing the frequency deviation of highly RESs integrated system. Three loads are considered in this study to check the stability and effectiveness of the proposed control coordination. Determining the best approach by analyzing the two controllers individual outputs is one of this work's main purposes.",

keywords = "Frequency stability, Load frequency control (LFC), Micro-grid, Power imbalance, RESs, Rate of change of frequency (ROCOF), SMES, Virtual inertia, Wind power",

author = "Chowdhury, {Tanzi Ahmed} and Abhishak Dhar and Alam, {Md Shafiul} and Al-Ismail, {Fahad Saleh} and Ullah, {Md Aasim}",

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Chowdhury, TA, Dhar, A, Alam, MS, Al-Ismail, FS & Ullah, MA 2023, Load Frequency Analysis Using Optimal Virtual Inertia and SMES Considering A Random Load. in 3rd International Conference on Electrical, Computer and Communication Engineering, ECCE 2023. 3rd International Conference on Electrical, Computer and Communication Engineering, ECCE 2023, Institute of Electrical and Electronics Engineers Inc., 3rd International Conference on Electrical, Computer and Communication Engineering, ECCE 2023, Chittagong, Bangladesh, 23/02/23. https://doi.org/10.1109/ECCE57851.2023.10101617

Load Frequency Analysis Using Optimal Virtual Inertia and SMES Considering A Random Load. / Chowdhury, Tanzi Ahmed; Dhar, Abhishak; Alam, Md Shafiul et al.
3rd International Conference on Electrical, Computer and Communication Engineering, ECCE 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (3rd International Conference on Electrical, Computer and Communication Engineering, ECCE 2023).

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

TY - GEN

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AU - Chowdhury, Tanzi Ahmed

AU - Dhar, Abhishak

AU - Alam, Md Shafiul

AU - Al-Ismail, Fahad Saleh

AU - Ullah, Md Aasim

PY - 2023

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N2 - Renewable energy sources (RESs) are getting prominence due to the scarcity of fossil fuels. On the other hand, most RESs are connected to the grid through inverters or converters, which are power electronic interfaces. Utilizing converters and inverters will significantly decrease the power system's inertia due to the absence of rotating mass. As a result, the use of advanced technologies to achieve and maintain frequency stability is essential in power systems. This work proposes two new control coordination i) virtual inertia and ii) superconducting magnetic energy storage (SMES) of load frequency control (LFC) along with a PI controller. Since SMES technology and virtual inertia are both effective energy storage systems and frequency stabilizers, respectively, this research develops two controllers to emulate inertia utilizing SMES. The mathematical model is developed to facilitate control design and implementation in simulation platform. The developed techniques show better performance in reducing the frequency deviation of highly RESs integrated system. Three loads are considered in this study to check the stability and effectiveness of the proposed control coordination. Determining the best approach by analyzing the two controllers individual outputs is one of this work's main purposes.

AB - Renewable energy sources (RESs) are getting prominence due to the scarcity of fossil fuels. On the other hand, most RESs are connected to the grid through inverters or converters, which are power electronic interfaces. Utilizing converters and inverters will significantly decrease the power system's inertia due to the absence of rotating mass. As a result, the use of advanced technologies to achieve and maintain frequency stability is essential in power systems. This work proposes two new control coordination i) virtual inertia and ii) superconducting magnetic energy storage (SMES) of load frequency control (LFC) along with a PI controller. Since SMES technology and virtual inertia are both effective energy storage systems and frequency stabilizers, respectively, this research develops two controllers to emulate inertia utilizing SMES. The mathematical model is developed to facilitate control design and implementation in simulation platform. The developed techniques show better performance in reducing the frequency deviation of highly RESs integrated system. Three loads are considered in this study to check the stability and effectiveness of the proposed control coordination. Determining the best approach by analyzing the two controllers individual outputs is one of this work's main purposes.

KW - Frequency stability

KW - Load frequency control (LFC)

KW - Micro-grid

KW - Power imbalance

KW - RESs

KW - Rate of change of frequency (ROCOF)

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KW - Virtual inertia

KW - Wind power

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M3 - Conference contribution

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T3 - 3rd International Conference on Electrical, Computer and Communication Engineering, ECCE 2023

BT - 3rd International Conference on Electrical, Computer and Communication Engineering, ECCE 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd International Conference on Electrical, Computer and Communication Engineering, ECCE 2023

Y2 - 23 February 2023 through 25 February 2023

ER -

Chowdhury TA, Dhar A, Alam MS, Al-Ismail FS, Ullah MA. Load Frequency Analysis Using Optimal Virtual Inertia and SMES Considering A Random Load. In 3rd International Conference on Electrical, Computer and Communication Engineering, ECCE 2023. Institute of Electrical and Electronics Engineers Inc. 2023. (3rd International Conference on Electrical, Computer and Communication Engineering, ECCE 2023). doi: 10.1109/ECCE57851.2023.10101617

Load Frequency Analysis Using Optimal Virtual Inertia and SMES Considering A Random Load

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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Cite this