Droop Control Design Based on Advanced Particle Swarm Optimization for Grid-Connected Multi PV-VSG

Haseeb Ur Rehman; Xiangwu Yan; Mohamed Abdelkarim Abdelbaky; Mishkat Ullah Jan; Sheeraz Iqbal; Arsalan Masood; Tamara Egamnazrova; Muhammad Aurangzeb

doi:10.1049/icp.2020.0332

Droop Control Design Based on Advanced Particle Swarm Optimization for Grid-Connected Multi PV-VSG

Haseeb Ur Rehman^*, Xiangwu Yan, Mohamed Abdelkarim Abdelbaky^*, Mishkat Ullah Jan, Sheeraz Iqbal, Arsalan Masood, Tamara Egamnazrova, Muhammad Aurangzeb

^*Corresponding author for this work

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

9 Scopus citations

Abstract

The trend of future power systems is rapidly changing towards renewable energy resources (RESs) due to the depletion of fossil fuels. Meanwhile, the integration of RESs leads to the instability of the power system due to the lack of inertia and frequency instability. In this paper, the virtual synchronous generator (VSG) model is originated from imitating the synchronous generator characteristics. The VSG control approach is systematically researched and studied for different inverter-interfaced systems that include RESs integrated with the power grid. Parallel multi VSG based Photovoltaic (PV) systems are analyzed to validate the frequency response and power stability under high penetration of PV system. An advanced master-slave droop control approach is proposed for frequency regulation. Additionally, three case studies are analyzed under various effects of irradiance and temperature on the PV-VSG based system based on a specific area during a year. Meanwhile, an advanced particle swarm optimization (PSO) technique is utilized which effectively optimized the optimal parameters of droop control of VSG and improved the frequency regulation.

Original language	English
Title of host publication	IET Conference Proceedings
Publisher	Institution of Engineering and Technology
Pages	2214-2220
Number of pages	7
Volume	2020
Edition	1
ISBN (Electronic)	9781839533303
DOIs	https://doi.org/10.1049/icp.2020.0332
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

PV grid integration
frequency regulation
multiple VSGs coordination
particle swarm optimization algorithm
virtual synchronous generator

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.2020.0332

Cite this

@inproceedings{89ad675057fe463e8da381314cb420d5,

title = "Droop Control Design Based on Advanced Particle Swarm Optimization for Grid-Connected Multi PV-VSG",

abstract = "The trend of future power systems is rapidly changing towards renewable energy resources (RESs) due to the depletion of fossil fuels. Meanwhile, the integration of RESs leads to the instability of the power system due to the lack of inertia and frequency instability. In this paper, the virtual synchronous generator (VSG) model is originated from imitating the synchronous generator characteristics. The VSG control approach is systematically researched and studied for different inverter-interfaced systems that include RESs integrated with the power grid. Parallel multi VSG based Photovoltaic (PV) systems are analyzed to validate the frequency response and power stability under high penetration of PV system. An advanced master-slave droop control approach is proposed for frequency regulation. Additionally, three case studies are analyzed under various effects of irradiance and temperature on the PV-VSG based system based on a specific area during a year. Meanwhile, an advanced particle swarm optimization (PSO) technique is utilized which effectively optimized the optimal parameters of droop control of VSG and improved the frequency regulation.",

keywords = "PV grid integration, frequency regulation, multiple VSGs coordination, particle swarm optimization algorithm, virtual synchronous generator",

author = "Rehman, \{Haseeb Ur\} and Xiangwu Yan and Abdelbaky, \{Mohamed Abdelkarim\} and Jan, \{Mishkat Ullah\} and Sheeraz Iqbal and Arsalan Masood and Tamara Egamnazrova and Muhammad Aurangzeb",

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.2020.0332",

language = "English",

volume = "2020",

pages = "2214--2220",

booktitle = "IET Conference Proceedings",

publisher = "Institution of Engineering and Technology",

address = "United Kingdom",

edition = "1",

}

Rehman, HU, Yan, X, Abdelbaky, MA, Jan, MU, Iqbal, S, Masood, A, Egamnazrova, T & Aurangzeb, M 2020, Droop Control Design Based on Advanced Particle Swarm Optimization for Grid-Connected Multi PV-VSG. in IET Conference Proceedings. 1 edn, vol. 2020, Institution of Engineering and Technology, pp. 2214-2220, 16th IET International Conference on AC and DC Power Transmission, ACDC 2020, Virtual, Online, 2/07/20. https://doi.org/10.1049/icp.2020.0332

Droop Control Design Based on Advanced Particle Swarm Optimization for Grid-Connected Multi PV-VSG. / Rehman, Haseeb Ur; Yan, Xiangwu; Abdelbaky, Mohamed Abdelkarim et al.
IET Conference Proceedings. Vol. 2020 1. ed. Institution of Engineering and Technology, 2020. p. 2214-2220.

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

TY - GEN

T1 - Droop Control Design Based on Advanced Particle Swarm Optimization for Grid-Connected Multi PV-VSG

AU - Rehman, Haseeb Ur

AU - Yan, Xiangwu

AU - Abdelbaky, Mohamed Abdelkarim

AU - Jan, Mishkat Ullah

AU - Iqbal, Sheeraz

AU - Masood, Arsalan

AU - Egamnazrova, Tamara

AU - Aurangzeb, Muhammad

PY - 2020

Y1 - 2020

N2 - The trend of future power systems is rapidly changing towards renewable energy resources (RESs) due to the depletion of fossil fuels. Meanwhile, the integration of RESs leads to the instability of the power system due to the lack of inertia and frequency instability. In this paper, the virtual synchronous generator (VSG) model is originated from imitating the synchronous generator characteristics. The VSG control approach is systematically researched and studied for different inverter-interfaced systems that include RESs integrated with the power grid. Parallel multi VSG based Photovoltaic (PV) systems are analyzed to validate the frequency response and power stability under high penetration of PV system. An advanced master-slave droop control approach is proposed for frequency regulation. Additionally, three case studies are analyzed under various effects of irradiance and temperature on the PV-VSG based system based on a specific area during a year. Meanwhile, an advanced particle swarm optimization (PSO) technique is utilized which effectively optimized the optimal parameters of droop control of VSG and improved the frequency regulation.

AB - The trend of future power systems is rapidly changing towards renewable energy resources (RESs) due to the depletion of fossil fuels. Meanwhile, the integration of RESs leads to the instability of the power system due to the lack of inertia and frequency instability. In this paper, the virtual synchronous generator (VSG) model is originated from imitating the synchronous generator characteristics. The VSG control approach is systematically researched and studied for different inverter-interfaced systems that include RESs integrated with the power grid. Parallel multi VSG based Photovoltaic (PV) systems are analyzed to validate the frequency response and power stability under high penetration of PV system. An advanced master-slave droop control approach is proposed for frequency regulation. Additionally, three case studies are analyzed under various effects of irradiance and temperature on the PV-VSG based system based on a specific area during a year. Meanwhile, an advanced particle swarm optimization (PSO) technique is utilized which effectively optimized the optimal parameters of droop control of VSG and improved the frequency regulation.

KW - PV grid integration

KW - frequency regulation

KW - multiple VSGs coordination

KW - particle swarm optimization algorithm

KW - virtual synchronous generator

UR - https://www.scopus.com/pages/publications/85174654965

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DO - 10.1049/icp.2020.0332

M3 - Conference contribution

AN - SCOPUS:85174654965

VL - 2020

SP - 2214

EP - 2220

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 -

Droop Control Design Based on Advanced Particle Swarm Optimization for Grid-Connected Multi PV-VSG

Abstract

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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Cite this