Frequency Regulation of an Isolated Micro-Grid Integrated with Electric Vehicles using Adaptive and Fuzzy PI Controllers

Mishkat Ullah Jan; Ai Xin; Sheeraz Iqbal; Mohamed Abdelkarim Abdelbaky; Haseeb Ur Rehman; Tamara Egamnazrova; Muhammad Aurangzeb; Salman Salman

doi:10.1049/icp.2020.0337

Frequency Regulation of an Isolated Micro-Grid Integrated with Electric Vehicles using Adaptive and Fuzzy PI Controllers

Mishkat Ullah Jan^*
, Ai Xin
, Sheeraz Iqbal
, Mohamed Abdelkarim Abdelbaky^*
, Haseeb Ur Rehman
, Tamara Egamnazrova
, Muhammad Aurangzeb
, Salman Salman

^*Corresponding author for this work

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

2 Scopus citations

Abstract

Renewable energy sources are extensively used in the modern era for power generation due to their clean and green nature. The renewable energy sources integration makes the power grid more complex due to their intermittent nature. The frequency stability has great concern for operating the micro-gird in an isolated mode. This needs effective and efficient control techniques for the stability of the isolated micro-grid. Therefore, this paper aims to present a control technique that can effectively regulate the frequency deviation of an isolated micro-grid, which consists of a wind turbine, photovoltaic system, reheated turbine system, electric vehicles, and domestic loads. The proposed control technique is comprised of adaptive droop control for charging and discharging of EVs and fuzzy PI controller are utilized for frequency regulation of wind turbine and reheat generator. To test the proposed controller performance, this isolated micro-grid system is developed in MATLAB/SIMULINK. In addition, system performance comparisons between PI and fuzzy PI controllers are performed. The simulation results indicate the proposed control techniques' superiority in regulating and stabilizing the isolated micro-grid frequency. Moreover, the fuzzy PI controller signifies the effectiveness of the frequency regulation performance over the PI controller.

Original language	English
Title of host publication	IET Conference Proceedings
Publisher	Institution of Engineering and Technology
Pages	2281-2286
Number of pages	6
Volume	2020
Edition	1
ISBN (Electronic)	9781839533303
DOIs	https://doi.org/10.1049/icp.2020.0337
State	Published - 2020
Externally published	Yes
Event	16th IET International Conference on AC and DC Power Transmission, ACDC 2020 - Virtual, Online Duration: 2 Jul 2020 → 3 Jul 2020

Conference

Conference	16th IET International Conference on AC and DC Power Transmission, ACDC 2020
City	Virtual, Online
Period	2/07/20 → 3/07/20

Bibliographical note

Publisher Copyright:
© 2020 The Institution of Engineering and Technology

Keywords

Adaptive Droop Control
Electric Vehicles
Micro-grid
PI Fuzzy controller
frequency regulation

ASJC Scopus subject areas

General Engineering

UN SDGs

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

Access to Document

10.1049/icp.2020.0337

Cite this

Jan, M. U., Xin, A., Iqbal, S., Abdelbaky, M. A., Rehman, H. U., Egamnazrova, T., Aurangzeb, M., & Salman, S. (2020). Frequency Regulation of an Isolated Micro-Grid Integrated with Electric Vehicles using Adaptive and Fuzzy PI Controllers. In IET Conference Proceedings (1 ed., Vol. 2020, pp. 2281-2286). Institution of Engineering and Technology. https://doi.org/10.1049/icp.2020.0337

@inproceedings{48aa34d8e0524d69bc868d425b6f9016,

title = "Frequency Regulation of an Isolated Micro-Grid Integrated with Electric Vehicles using Adaptive and Fuzzy PI Controllers",

abstract = "Renewable energy sources are extensively used in the modern era for power generation due to their clean and green nature. The renewable energy sources integration makes the power grid more complex due to their intermittent nature. The frequency stability has great concern for operating the micro-gird in an isolated mode. This needs effective and efficient control techniques for the stability of the isolated micro-grid. Therefore, this paper aims to present a control technique that can effectively regulate the frequency deviation of an isolated micro-grid, which consists of a wind turbine, photovoltaic system, reheated turbine system, electric vehicles, and domestic loads. The proposed control technique is comprised of adaptive droop control for charging and discharging of EVs and fuzzy PI controller are utilized for frequency regulation of wind turbine and reheat generator. To test the proposed controller performance, this isolated micro-grid system is developed in MATLAB/SIMULINK. In addition, system performance comparisons between PI and fuzzy PI controllers are performed. The simulation results indicate the proposed control techniques' superiority in regulating and stabilizing the isolated micro-grid frequency. Moreover, the fuzzy PI controller signifies the effectiveness of the frequency regulation performance over the PI controller.",

keywords = "Adaptive Droop Control, Electric Vehicles, Micro-grid, PI Fuzzy controller, frequency regulation",

author = "Jan, \{Mishkat Ullah\} and Ai Xin and Sheeraz Iqbal and Abdelbaky, \{Mohamed Abdelkarim\} and Rehman, \{Haseeb Ur\} and Tamara Egamnazrova and Muhammad Aurangzeb and Salman Salman",

note = "Publisher Copyright: {\textcopyright} 2020 The Institution of Engineering and Technology; 16th IET International Conference on AC and DC Power Transmission, ACDC 2020 ; Conference date: 02-07-2020 Through 03-07-2020",

year = "2020",

doi = "10.1049/icp.2020.0337",

language = "English",

volume = "2020",

pages = "2281--2286",

booktitle = "IET Conference Proceedings",

publisher = "Institution of Engineering and Technology",

address = "United Kingdom",

edition = "1",

}

Jan, MU, Xin, A, Iqbal, S, Abdelbaky, MA, Rehman, HU, Egamnazrova, T, Aurangzeb, M & Salman, S 2020, Frequency Regulation of an Isolated Micro-Grid Integrated with Electric Vehicles using Adaptive and Fuzzy PI Controllers. in IET Conference Proceedings. 1 edn, vol. 2020, Institution of Engineering and Technology, pp. 2281-2286, 16th IET International Conference on AC and DC Power Transmission, ACDC 2020, Virtual, Online, 2/07/20. https://doi.org/10.1049/icp.2020.0337

Frequency Regulation of an Isolated Micro-Grid Integrated with Electric Vehicles using Adaptive and Fuzzy PI Controllers. / Jan, Mishkat Ullah; Xin, Ai; Iqbal, Sheeraz et al.
IET Conference Proceedings. Vol. 2020 1. ed. Institution of Engineering and Technology, 2020. p. 2281-2286.

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

TY - GEN

T1 - Frequency Regulation of an Isolated Micro-Grid Integrated with Electric Vehicles using Adaptive and Fuzzy PI Controllers

AU - Jan, Mishkat Ullah

AU - Xin, Ai

AU - Iqbal, Sheeraz

AU - Abdelbaky, Mohamed Abdelkarim

AU - Rehman, Haseeb Ur

AU - Egamnazrova, Tamara

AU - Aurangzeb, Muhammad

AU - Salman, Salman

PY - 2020

Y1 - 2020

N2 - Renewable energy sources are extensively used in the modern era for power generation due to their clean and green nature. The renewable energy sources integration makes the power grid more complex due to their intermittent nature. The frequency stability has great concern for operating the micro-gird in an isolated mode. This needs effective and efficient control techniques for the stability of the isolated micro-grid. Therefore, this paper aims to present a control technique that can effectively regulate the frequency deviation of an isolated micro-grid, which consists of a wind turbine, photovoltaic system, reheated turbine system, electric vehicles, and domestic loads. The proposed control technique is comprised of adaptive droop control for charging and discharging of EVs and fuzzy PI controller are utilized for frequency regulation of wind turbine and reheat generator. To test the proposed controller performance, this isolated micro-grid system is developed in MATLAB/SIMULINK. In addition, system performance comparisons between PI and fuzzy PI controllers are performed. The simulation results indicate the proposed control techniques' superiority in regulating and stabilizing the isolated micro-grid frequency. Moreover, the fuzzy PI controller signifies the effectiveness of the frequency regulation performance over the PI controller.

AB - Renewable energy sources are extensively used in the modern era for power generation due to their clean and green nature. The renewable energy sources integration makes the power grid more complex due to their intermittent nature. The frequency stability has great concern for operating the micro-gird in an isolated mode. This needs effective and efficient control techniques for the stability of the isolated micro-grid. Therefore, this paper aims to present a control technique that can effectively regulate the frequency deviation of an isolated micro-grid, which consists of a wind turbine, photovoltaic system, reheated turbine system, electric vehicles, and domestic loads. The proposed control technique is comprised of adaptive droop control for charging and discharging of EVs and fuzzy PI controller are utilized for frequency regulation of wind turbine and reheat generator. To test the proposed controller performance, this isolated micro-grid system is developed in MATLAB/SIMULINK. In addition, system performance comparisons between PI and fuzzy PI controllers are performed. The simulation results indicate the proposed control techniques' superiority in regulating and stabilizing the isolated micro-grid frequency. Moreover, the fuzzy PI controller signifies the effectiveness of the frequency regulation performance over the PI controller.

KW - Adaptive Droop Control

KW - Electric Vehicles

KW - Micro-grid

KW - PI Fuzzy controller

KW - frequency regulation

UR - https://www.scopus.com/pages/publications/85174650567

U2 - 10.1049/icp.2020.0337

DO - 10.1049/icp.2020.0337

M3 - Conference contribution

AN - SCOPUS:85174650567

VL - 2020

SP - 2281

EP - 2286

BT - IET Conference Proceedings

PB - Institution of Engineering and Technology

T2 - 16th IET International Conference on AC and DC Power Transmission, ACDC 2020

Y2 - 2 July 2020 through 3 July 2020

ER -

Frequency Regulation of an Isolated Micro-Grid Integrated with Electric Vehicles using Adaptive and Fuzzy PI Controllers

Abstract

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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Cite this