Grid-Forming Converter Control Optimization using Genetic Algorithm with Bounded Regions

Salem Alshahrani; Mohammed Khalid; Mohammed Abido

doi:10.1109/SASG57022.2022.10199754

Grid-Forming Converter Control Optimization using Genetic Algorithm with Bounded Regions

Salem Alshahrani^*
, Mohammed Khalid
, Mohammed Abido

^*Corresponding author for this work

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

Abstract

The shift in power generation towards renewable energy (RE) resources interfaced with power electronic-based converters degrade system stability. The logical solution is to increase the synchronous machines number, but an alternative approach is to use grid-forming converter. The grid-forming converter has many control schemes that inject power to bring the grid back to its stable mode. Some of these control schemes mimic synchronous machine functionality and some do not like matching control and virtual oscillator control. This paper proposes a tuning procedure for cascaded PID controllers through setting limits on the controllers' gain values and then optimizing them with genetic algorithm for a given objective function. Three different controllers are assumed: droop, matching, and VOC controllers.

Original language	English
Title of host publication	2022 Saudi Arabia Smart Grid Conference, SASG 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665475891
DOIs	https://doi.org/10.1109/SASG57022.2022.10199754
State	Published - 2022
Event	2022 Saudi Arabia Smart Grid Conference, SASG 2022 - Jeddah, Saudi Arabia Duration: 12 Dec 2022 → 14 Dec 2022

Publication series

Name	2022 Saudi Arabia Smart Grid Conference, SASG 2022

Conference

Conference	2022 Saudi Arabia Smart Grid Conference, SASG 2022
Country/Territory	Saudi Arabia
City	Jeddah
Period	12/12/22 → 14/12/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Droop control
PID control
genetic algorithm
grid-forming converter
matching control
transient stability
virtual oscillator control

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Computer Science Applications
Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Control and Optimization

Access to Document

10.1109/SASG57022.2022.10199754

Cite this

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title = "Grid-Forming Converter Control Optimization using Genetic Algorithm with Bounded Regions",

abstract = "The shift in power generation towards renewable energy (RE) resources interfaced with power electronic-based converters degrade system stability. The logical solution is to increase the synchronous machines number, but an alternative approach is to use grid-forming converter. The grid-forming converter has many control schemes that inject power to bring the grid back to its stable mode. Some of these control schemes mimic synchronous machine functionality and some do not like matching control and virtual oscillator control. This paper proposes a tuning procedure for cascaded PID controllers through setting limits on the controllers' gain values and then optimizing them with genetic algorithm for a given objective function. Three different controllers are assumed: droop, matching, and VOC controllers.",

keywords = "Droop control, PID control, genetic algorithm, grid-forming converter, matching control, transient stability, virtual oscillator control",

author = "Salem Alshahrani and Mohammed Khalid and Mohammed Abido",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 Saudi Arabia Smart Grid Conference, SASG 2022 ; Conference date: 12-12-2022 Through 14-12-2022",

year = "2022",

doi = "10.1109/SASG57022.2022.10199754",

language = "English",

series = "2022 Saudi Arabia Smart Grid Conference, SASG 2022",

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

booktitle = "2022 Saudi Arabia Smart Grid Conference, SASG 2022",

address = "United States",

}

Alshahrani, S, Khalid, M & Abido, M 2022, Grid-Forming Converter Control Optimization using Genetic Algorithm with Bounded Regions. in 2022 Saudi Arabia Smart Grid Conference, SASG 2022. 2022 Saudi Arabia Smart Grid Conference, SASG 2022, Institute of Electrical and Electronics Engineers Inc., 2022 Saudi Arabia Smart Grid Conference, SASG 2022, Jeddah, Saudi Arabia, 12/12/22. https://doi.org/10.1109/SASG57022.2022.10199754

Grid-Forming Converter Control Optimization using Genetic Algorithm with Bounded Regions. / Alshahrani, Salem; Khalid, Mohammed; Abido, Mohammed.
2022 Saudi Arabia Smart Grid Conference, SASG 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 Saudi Arabia Smart Grid Conference, SASG 2022).

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

TY - GEN

T1 - Grid-Forming Converter Control Optimization using Genetic Algorithm with Bounded Regions

AU - Alshahrani, Salem

AU - Khalid, Mohammed

AU - Abido, Mohammed

PY - 2022

Y1 - 2022

N2 - The shift in power generation towards renewable energy (RE) resources interfaced with power electronic-based converters degrade system stability. The logical solution is to increase the synchronous machines number, but an alternative approach is to use grid-forming converter. The grid-forming converter has many control schemes that inject power to bring the grid back to its stable mode. Some of these control schemes mimic synchronous machine functionality and some do not like matching control and virtual oscillator control. This paper proposes a tuning procedure for cascaded PID controllers through setting limits on the controllers' gain values and then optimizing them with genetic algorithm for a given objective function. Three different controllers are assumed: droop, matching, and VOC controllers.

AB - The shift in power generation towards renewable energy (RE) resources interfaced with power electronic-based converters degrade system stability. The logical solution is to increase the synchronous machines number, but an alternative approach is to use grid-forming converter. The grid-forming converter has many control schemes that inject power to bring the grid back to its stable mode. Some of these control schemes mimic synchronous machine functionality and some do not like matching control and virtual oscillator control. This paper proposes a tuning procedure for cascaded PID controllers through setting limits on the controllers' gain values and then optimizing them with genetic algorithm for a given objective function. Three different controllers are assumed: droop, matching, and VOC controllers.

KW - Droop control

KW - PID control

KW - genetic algorithm

KW - grid-forming converter

KW - matching control

KW - transient stability

KW - virtual oscillator control

UR - https://www.scopus.com/pages/publications/85169291678

U2 - 10.1109/SASG57022.2022.10199754

DO - 10.1109/SASG57022.2022.10199754

M3 - Conference contribution

AN - SCOPUS:85169291678

T3 - 2022 Saudi Arabia Smart Grid Conference, SASG 2022

BT - 2022 Saudi Arabia Smart Grid Conference, SASG 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 Saudi Arabia Smart Grid Conference, SASG 2022

Y2 - 12 December 2022 through 14 December 2022

ER -

Grid-Forming Converter Control Optimization using Genetic Algorithm with Bounded Regions

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this