Frequency regulation and optimization of microgrid system with multi PV-VSG using advanced droop controller

Haseeb Ur Rehman; Xiangwu Yan; Mohamed Abdelkarim Abdelbaky; Mishkat Ullah Jan; Ahmed Rabee Sayed; Sayed A. Zaki; Sheeraz Iqbal

doi:10.1109/EI250167.2020.9347308

Frequency regulation and optimization of microgrid system with multi PV-VSG using advanced droop controller

Haseeb Ur Rehman
, Xiangwu Yan
, Mohamed Abdelkarim Abdelbaky
, Mishkat Ullah Jan
, Ahmed Rabee Sayed
, Sayed A. Zaki
, Sheeraz Iqbal

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

4 Scopus citations

Abstract

The future of the machine-controlled power system is advancing to an inverter-based power system with a huge integration of renewable energy sources (RES) like photovoltaic (PV) and wind energy. The penetration of RES leads to instability of frequency due to the lack of inertia. Recent development has been made in inverter's based virtual inertia control for frequency regulation in virtual synchronous generator-based systems. Inverters connecting to the microgrid are provided with virtual inertia and droop control by the virtual synchronous generator (VSG) system. In this study, three parallel VSGs based PV systems are used to investigate the frequency response and voltage stability. An advanced genetic algorithm (GA) optimization method is utilized to attain the optimum parameters of the droop control used in the VSGs. Furthermore, two different case studies with respect to load change are analyzed in detail with comparisons with the classical droop controller. The simulation results observed many improvements of the proposed controller over the classical controller.

Original language	English
Title of host publication	2020 IEEE 4th Conference on Energy Internet and Energy System Integration
Subtitle of host publication	Connecting the Grids Towards a Low-Carbon High-Efficiency Energy System, EI2 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1495-1500
Number of pages	6
ISBN (Electronic)	9781728196060
DOIs	https://doi.org/10.1109/EI250167.2020.9347308
State	Published - 30 Oct 2020
Externally published	Yes
Event	4th IEEE Conference on Energy Internet and Energy System Integration, EI2 2020 - Wuhan, China Duration: 30 Oct 2020 → 1 Nov 2020

Publication series

Name	2020 IEEE 4th Conference on Energy Internet and Energy System Integration: Connecting the Grids Towards a Low-Carbon High-Efficiency Energy System, EI2 2020

Conference

Conference	4th IEEE Conference on Energy Internet and Energy System Integration, EI2 2020
Country/Territory	China
City	Wuhan
Period	30/10/20 → 1/11/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Keywords

Frequency regulation
Genetic algorithm optimization
Multiple VSGs coordination
PV microgrid integration
Virtual synchronous generator

ASJC Scopus subject areas

Computer Networks and Communications
Information Systems and Management
Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Control and Optimization

UN SDGs

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

Access to Document

10.1109/EI250167.2020.9347308

Cite this

Rehman, H. U., Yan, X., Abdelbaky, M. A., Jan, M. U., Sayed, A. R., Zaki, S. A., & Iqbal, S. (2020). Frequency regulation and optimization of microgrid system with multi PV-VSG using advanced droop controller. In 2020 IEEE 4th Conference on Energy Internet and Energy System Integration: Connecting the Grids Towards a Low-Carbon High-Efficiency Energy System, EI2 2020 (pp. 1495-1500). Article 9347308 (2020 IEEE 4th Conference on Energy Internet and Energy System Integration: Connecting the Grids Towards a Low-Carbon High-Efficiency Energy System, EI2 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EI250167.2020.9347308

Rehman, Haseeb Ur ; Yan, Xiangwu ; Abdelbaky, Mohamed Abdelkarim et al. / Frequency regulation and optimization of microgrid system with multi PV-VSG using advanced droop controller. 2020 IEEE 4th Conference on Energy Internet and Energy System Integration: Connecting the Grids Towards a Low-Carbon High-Efficiency Energy System, EI2 2020. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 1495-1500 (2020 IEEE 4th Conference on Energy Internet and Energy System Integration: Connecting the Grids Towards a Low-Carbon High-Efficiency Energy System, EI2 2020).

@inproceedings{0b18baf788b7441a957d2f159c4ffa93,

title = "Frequency regulation and optimization of microgrid system with multi PV-VSG using advanced droop controller",

abstract = "The future of the machine-controlled power system is advancing to an inverter-based power system with a huge integration of renewable energy sources (RES) like photovoltaic (PV) and wind energy. The penetration of RES leads to instability of frequency due to the lack of inertia. Recent development has been made in inverter's based virtual inertia control for frequency regulation in virtual synchronous generator-based systems. Inverters connecting to the microgrid are provided with virtual inertia and droop control by the virtual synchronous generator (VSG) system. In this study, three parallel VSGs based PV systems are used to investigate the frequency response and voltage stability. An advanced genetic algorithm (GA) optimization method is utilized to attain the optimum parameters of the droop control used in the VSGs. Furthermore, two different case studies with respect to load change are analyzed in detail with comparisons with the classical droop controller. The simulation results observed many improvements of the proposed controller over the classical controller.",

keywords = "Frequency regulation, Genetic algorithm optimization, Multiple VSGs coordination, PV microgrid integration, Virtual synchronous generator",

author = "Rehman, \{Haseeb Ur\} and Xiangwu Yan and Abdelbaky, \{Mohamed Abdelkarim\} and Jan, \{Mishkat Ullah\} and Sayed, \{Ahmed Rabee\} and Zaki, \{Sayed A.\} and Sheeraz Iqbal",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 4th IEEE Conference on Energy Internet and Energy System Integration, EI2 2020 ; Conference date: 30-10-2020 Through 01-11-2020",

year = "2020",

month = oct,

day = "30",

doi = "10.1109/EI250167.2020.9347308",

language = "English",

series = "2020 IEEE 4th Conference on Energy Internet and Energy System Integration: Connecting the Grids Towards a Low-Carbon High-Efficiency Energy System, EI2 2020",

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

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booktitle = "2020 IEEE 4th Conference on Energy Internet and Energy System Integration",

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}

Rehman, HU, Yan, X, Abdelbaky, MA, Jan, MU, Sayed, AR, Zaki, SA & Iqbal, S 2020, Frequency regulation and optimization of microgrid system with multi PV-VSG using advanced droop controller. in 2020 IEEE 4th Conference on Energy Internet and Energy System Integration: Connecting the Grids Towards a Low-Carbon High-Efficiency Energy System, EI2 2020., 9347308, 2020 IEEE 4th Conference on Energy Internet and Energy System Integration: Connecting the Grids Towards a Low-Carbon High-Efficiency Energy System, EI2 2020, Institute of Electrical and Electronics Engineers Inc., pp. 1495-1500, 4th IEEE Conference on Energy Internet and Energy System Integration, EI2 2020, Wuhan, China, 30/10/20. https://doi.org/10.1109/EI250167.2020.9347308

Frequency regulation and optimization of microgrid system with multi PV-VSG using advanced droop controller. / Rehman, Haseeb Ur; Yan, Xiangwu; Abdelbaky, Mohamed Abdelkarim et al.
2020 IEEE 4th Conference on Energy Internet and Energy System Integration: Connecting the Grids Towards a Low-Carbon High-Efficiency Energy System, EI2 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 1495-1500 9347308 (2020 IEEE 4th Conference on Energy Internet and Energy System Integration: Connecting the Grids Towards a Low-Carbon High-Efficiency Energy System, EI2 2020).

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

TY - GEN

T1 - Frequency regulation and optimization of microgrid system with multi PV-VSG using advanced droop controller

AU - Rehman, Haseeb Ur

AU - Yan, Xiangwu

AU - Abdelbaky, Mohamed Abdelkarim

AU - Jan, Mishkat Ullah

AU - Sayed, Ahmed Rabee

AU - Zaki, Sayed A.

AU - Iqbal, Sheeraz

PY - 2020/10/30

Y1 - 2020/10/30

N2 - The future of the machine-controlled power system is advancing to an inverter-based power system with a huge integration of renewable energy sources (RES) like photovoltaic (PV) and wind energy. The penetration of RES leads to instability of frequency due to the lack of inertia. Recent development has been made in inverter's based virtual inertia control for frequency regulation in virtual synchronous generator-based systems. Inverters connecting to the microgrid are provided with virtual inertia and droop control by the virtual synchronous generator (VSG) system. In this study, three parallel VSGs based PV systems are used to investigate the frequency response and voltage stability. An advanced genetic algorithm (GA) optimization method is utilized to attain the optimum parameters of the droop control used in the VSGs. Furthermore, two different case studies with respect to load change are analyzed in detail with comparisons with the classical droop controller. The simulation results observed many improvements of the proposed controller over the classical controller.

AB - The future of the machine-controlled power system is advancing to an inverter-based power system with a huge integration of renewable energy sources (RES) like photovoltaic (PV) and wind energy. The penetration of RES leads to instability of frequency due to the lack of inertia. Recent development has been made in inverter's based virtual inertia control for frequency regulation in virtual synchronous generator-based systems. Inverters connecting to the microgrid are provided with virtual inertia and droop control by the virtual synchronous generator (VSG) system. In this study, three parallel VSGs based PV systems are used to investigate the frequency response and voltage stability. An advanced genetic algorithm (GA) optimization method is utilized to attain the optimum parameters of the droop control used in the VSGs. Furthermore, two different case studies with respect to load change are analyzed in detail with comparisons with the classical droop controller. The simulation results observed many improvements of the proposed controller over the classical controller.

KW - Frequency regulation

KW - Genetic algorithm optimization

KW - Multiple VSGs coordination

KW - PV microgrid integration

KW - Virtual synchronous generator

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U2 - 10.1109/EI250167.2020.9347308

DO - 10.1109/EI250167.2020.9347308

M3 - Conference contribution

AN - SCOPUS:85100694578

T3 - 2020 IEEE 4th Conference on Energy Internet and Energy System Integration: Connecting the Grids Towards a Low-Carbon High-Efficiency Energy System, EI2 2020

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EP - 1500

BT - 2020 IEEE 4th Conference on Energy Internet and Energy System Integration

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 4th IEEE Conference on Energy Internet and Energy System Integration, EI2 2020

Y2 - 30 October 2020 through 1 November 2020

ER -

Rehman HU, Yan X, Abdelbaky MA, Jan MU, Sayed AR, Zaki SA et al. Frequency regulation and optimization of microgrid system with multi PV-VSG using advanced droop controller. In 2020 IEEE 4th Conference on Energy Internet and Energy System Integration: Connecting the Grids Towards a Low-Carbon High-Efficiency Energy System, EI2 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 1495-1500. 9347308. (2020 IEEE 4th Conference on Energy Internet and Energy System Integration: Connecting the Grids Towards a Low-Carbon High-Efficiency Energy System, EI2 2020). doi: 10.1109/EI250167.2020.9347308

Frequency regulation and optimization of microgrid system with multi PV-VSG using advanced droop controller

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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Cite this