An Adaptive Frequency Regulation Strategy for Electric Vehicle Integrated Community Microgrid

Abdul Latif; S. M.Suhail Hussain; Mohd Asim Aftab; Mohammad A. Abido

doi:10.1109/ETFG55873.2023.10408307

An Adaptive Frequency Regulation Strategy for Electric Vehicle Integrated Community Microgrid

Abdul Latif
, S. M.Suhail Hussain^*
, Mohd Asim Aftab
, Mohammad A. Abido

^*Corresponding author for this work

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

2 Scopus citations

Abstract

Owing to the current environmental concerns, the renewable energy sources (RESs) have become popular for power generation. High penetration of RESs in distribution system has resulted in emergence of concepts of community microgrids (CMG) to efficiently balance the supply and demand. However, due to capricious weather, generated power and varying loading conditions CMG frequency get adversely affected. This paper puts forth a control strategy for mitigation of frequency excursions in CMG using non-integer integral with tilt integral double derivative (NII-TIDD) controller optimized using moth flame technique (MFT). Performance of the proposed scheme is compared against PID and non-integer order PI (NOPI) controller. The study further investigates the effect of electric vehicle (EV) in stabilizing the system frequency in the backdrop of a disturbance. Finally, for more realistic assessment, the control strategy is also evaluated under real time wind data.

Original language	English
Title of host publication	2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665471640
DOIs	https://doi.org/10.1109/ETFG55873.2023.10408307
State	Published - 2023
Event	2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023 - Wollongong, Australia Duration: 3 Dec 2023 → 6 Dec 2023

Publication series

Name	2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023

Conference

Conference	2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023
Country/Territory	Australia
City	Wollongong
Period	3/12/23 → 6/12/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Combine solar micro-turbine
Fractional order PID controller
Load frequency stabilization
Moth flame technique

ASJC Scopus subject areas

Artificial Intelligence
Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Electrical and Electronic Engineering
Control and Optimization
Safety, Risk, Reliability and Quality

Access to Document

10.1109/ETFG55873.2023.10408307

Cite this

Latif, A., Hussain, S. M. S., Aftab, M. A., & Abido, M. A. (2023). An Adaptive Frequency Regulation Strategy for Electric Vehicle Integrated Community Microgrid. In 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023 (2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ETFG55873.2023.10408307

Latif, Abdul ; Hussain, S. M.Suhail ; Aftab, Mohd Asim et al. / An Adaptive Frequency Regulation Strategy for Electric Vehicle Integrated Community Microgrid. 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023).

@inproceedings{f1b04ed9a07b462e8df8cbe6ab570a6f,

title = "An Adaptive Frequency Regulation Strategy for Electric Vehicle Integrated Community Microgrid",

abstract = "Owing to the current environmental concerns, the renewable energy sources (RESs) have become popular for power generation. High penetration of RESs in distribution system has resulted in emergence of concepts of community microgrids (CMG) to efficiently balance the supply and demand. However, due to capricious weather, generated power and varying loading conditions CMG frequency get adversely affected. This paper puts forth a control strategy for mitigation of frequency excursions in CMG using non-integer integral with tilt integral double derivative (NII-TIDD) controller optimized using moth flame technique (MFT). Performance of the proposed scheme is compared against PID and non-integer order PI (NOPI) controller. The study further investigates the effect of electric vehicle (EV) in stabilizing the system frequency in the backdrop of a disturbance. Finally, for more realistic assessment, the control strategy is also evaluated under real time wind data.",

keywords = "Combine solar micro-turbine, Fractional order PID controller, Load frequency stabilization, Moth flame technique",

author = "Abdul Latif and Hussain, \{S. M.Suhail\} and Aftab, \{Mohd Asim\} and Abido, \{Mohammad A.\}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023 ; Conference date: 03-12-2023 Through 06-12-2023",

year = "2023",

doi = "10.1109/ETFG55873.2023.10408307",

language = "English",

series = "2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023",

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

booktitle = "2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023",

address = "United States",

}

Latif, A, Hussain, SMS, Aftab, MA & Abido, MA 2023, An Adaptive Frequency Regulation Strategy for Electric Vehicle Integrated Community Microgrid. in 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023. 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023, Institute of Electrical and Electronics Engineers Inc., 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023, Wollongong, Australia, 3/12/23. https://doi.org/10.1109/ETFG55873.2023.10408307

An Adaptive Frequency Regulation Strategy for Electric Vehicle Integrated Community Microgrid. / Latif, Abdul; Hussain, S. M.Suhail; Aftab, Mohd Asim et al.
2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023).

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

TY - GEN

T1 - An Adaptive Frequency Regulation Strategy for Electric Vehicle Integrated Community Microgrid

AU - Latif, Abdul

AU - Hussain, S. M.Suhail

AU - Aftab, Mohd Asim

AU - Abido, Mohammad A.

PY - 2023

Y1 - 2023

N2 - Owing to the current environmental concerns, the renewable energy sources (RESs) have become popular for power generation. High penetration of RESs in distribution system has resulted in emergence of concepts of community microgrids (CMG) to efficiently balance the supply and demand. However, due to capricious weather, generated power and varying loading conditions CMG frequency get adversely affected. This paper puts forth a control strategy for mitigation of frequency excursions in CMG using non-integer integral with tilt integral double derivative (NII-TIDD) controller optimized using moth flame technique (MFT). Performance of the proposed scheme is compared against PID and non-integer order PI (NOPI) controller. The study further investigates the effect of electric vehicle (EV) in stabilizing the system frequency in the backdrop of a disturbance. Finally, for more realistic assessment, the control strategy is also evaluated under real time wind data.

AB - Owing to the current environmental concerns, the renewable energy sources (RESs) have become popular for power generation. High penetration of RESs in distribution system has resulted in emergence of concepts of community microgrids (CMG) to efficiently balance the supply and demand. However, due to capricious weather, generated power and varying loading conditions CMG frequency get adversely affected. This paper puts forth a control strategy for mitigation of frequency excursions in CMG using non-integer integral with tilt integral double derivative (NII-TIDD) controller optimized using moth flame technique (MFT). Performance of the proposed scheme is compared against PID and non-integer order PI (NOPI) controller. The study further investigates the effect of electric vehicle (EV) in stabilizing the system frequency in the backdrop of a disturbance. Finally, for more realistic assessment, the control strategy is also evaluated under real time wind data.

KW - Combine solar micro-turbine

KW - Fractional order PID controller

KW - Load frequency stabilization

KW - Moth flame technique

UR - https://www.scopus.com/pages/publications/85185778934

U2 - 10.1109/ETFG55873.2023.10408307

DO - 10.1109/ETFG55873.2023.10408307

M3 - Conference contribution

AN - SCOPUS:85185778934

T3 - 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023

BT - 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023

Y2 - 3 December 2023 through 6 December 2023

ER -

Latif A, Hussain SMS, Aftab MA, Abido MA. An Adaptive Frequency Regulation Strategy for Electric Vehicle Integrated Community Microgrid. In 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023. Institute of Electrical and Electronics Engineers Inc. 2023. (2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023). doi: 10.1109/ETFG55873.2023.10408307

An Adaptive Frequency Regulation Strategy for Electric Vehicle Integrated Community Microgrid

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this