PI Controller Tuning Optimization for Grid-Connected VSC using Space Mapping

Wesam Taha; Mohamed Bakr; Ali Emadi

doi:10.1109/ECCE44975.2020.9236416

PI Controller Tuning Optimization for Grid-Connected VSC using Space Mapping

Wesam Taha
, Mohamed Bakr
, Ali Emadi

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

4 Scopus citations

Abstract

Controller tuning of voltage source converter (VSC), using voltage oriented control (VOC), has a significant impact on the system stability against disturbances. To this end, optimization algorithms are sought in order to achieve optimum dynamic performance. Such algorithms are normally applied to numerical simulators that are time-intensive, which hinders the design process. This paper proposes, for the first time, space mapping (SM) optimization algorithm for controller tuning in a grid-connected VSC system. SM is a surrogate-based optimizer that utilizes a 'coarse' model that is less accurate, yet extremely fast, to guide the optimization of the numerical, time-intensive 'fine' model. The development and employment of both models are presented in this study. Subsequently, the accuracy and efficiency of the SM algorithm are assessed by simulations. It is found that SM optimization algorithm can return a quasi-optimum solution in less than half the time taken by optimizing the fine model with adequate accuracy.

Original language	English
Title of host publication	ECCE 2020 - IEEE Energy Conversion Congress and Exposition
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	5689-5695
Number of pages	7
ISBN (Electronic)	9781728158266
DOIs	https://doi.org/10.1109/ECCE44975.2020.9236416
State	Published - 11 Oct 2020
Externally published	Yes
Event	12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020 - Virtual, Detroit, United States Duration: 11 Oct 2020 → 15 Oct 2020

Publication series

Name	ECCE 2020 - IEEE Energy Conversion Congress and Exposition

Conference

Conference	12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020
Country/Territory	United States
City	Virtual, Detroit
Period	11/10/20 → 15/10/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Keywords

optimal control
Optimization
PI controller
power converter
vector control
voltage source inverter

ASJC Scopus subject areas

Electrical and Electronic Engineering
Mechanical Engineering
Control and Optimization
Energy Engineering and Power Technology

Access to Document

10.1109/ECCE44975.2020.9236416

Cite this

Taha, W., Bakr, M., & Emadi, A. (2020). PI Controller Tuning Optimization for Grid-Connected VSC using Space Mapping. In ECCE 2020 - IEEE Energy Conversion Congress and Exposition (pp. 5689-5695). Article 9236416 (ECCE 2020 - IEEE Energy Conversion Congress and Exposition). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECCE44975.2020.9236416

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title = "PI Controller Tuning Optimization for Grid-Connected VSC using Space Mapping",

abstract = "Controller tuning of voltage source converter (VSC), using voltage oriented control (VOC), has a significant impact on the system stability against disturbances. To this end, optimization algorithms are sought in order to achieve optimum dynamic performance. Such algorithms are normally applied to numerical simulators that are time-intensive, which hinders the design process. This paper proposes, for the first time, space mapping (SM) optimization algorithm for controller tuning in a grid-connected VSC system. SM is a surrogate-based optimizer that utilizes a 'coarse' model that is less accurate, yet extremely fast, to guide the optimization of the numerical, time-intensive 'fine' model. The development and employment of both models are presented in this study. Subsequently, the accuracy and efficiency of the SM algorithm are assessed by simulations. It is found that SM optimization algorithm can return a quasi-optimum solution in less than half the time taken by optimizing the fine model with adequate accuracy.",

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Taha, W, Bakr, M & Emadi, A 2020, PI Controller Tuning Optimization for Grid-Connected VSC using Space Mapping. in ECCE 2020 - IEEE Energy Conversion Congress and Exposition., 9236416, ECCE 2020 - IEEE Energy Conversion Congress and Exposition, Institute of Electrical and Electronics Engineers Inc., pp. 5689-5695, 12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020, Virtual, Detroit, United States, 11/10/20. https://doi.org/10.1109/ECCE44975.2020.9236416

PI Controller Tuning Optimization for Grid-Connected VSC using Space Mapping. / Taha, Wesam; Bakr, Mohamed; Emadi, Ali.
ECCE 2020 - IEEE Energy Conversion Congress and Exposition. Institute of Electrical and Electronics Engineers Inc., 2020. p. 5689-5695 9236416 (ECCE 2020 - IEEE Energy Conversion Congress and Exposition).

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

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AU - Taha, Wesam

AU - Bakr, Mohamed

AU - Emadi, Ali

PY - 2020/10/11

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N2 - Controller tuning of voltage source converter (VSC), using voltage oriented control (VOC), has a significant impact on the system stability against disturbances. To this end, optimization algorithms are sought in order to achieve optimum dynamic performance. Such algorithms are normally applied to numerical simulators that are time-intensive, which hinders the design process. This paper proposes, for the first time, space mapping (SM) optimization algorithm for controller tuning in a grid-connected VSC system. SM is a surrogate-based optimizer that utilizes a 'coarse' model that is less accurate, yet extremely fast, to guide the optimization of the numerical, time-intensive 'fine' model. The development and employment of both models are presented in this study. Subsequently, the accuracy and efficiency of the SM algorithm are assessed by simulations. It is found that SM optimization algorithm can return a quasi-optimum solution in less than half the time taken by optimizing the fine model with adequate accuracy.

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KW - optimal control

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KW - vector control

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ER -

PI Controller Tuning Optimization for Grid-Connected VSC using Space Mapping

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this