Adaptive Control Strategy of VSG Based on Improved Multi-objective Particle Swarm Optimization Algorithm

Adaptive Control Strategy of VSG Based on Improved Multi-objective Particle Swarm Optimization Algorithm

In order to solve the problem that the frequency stability of power system is threatened due to inertia and damping reduction. In this paper, an adaptive control strategy of virtual synchronous generator based on improved multi-objective particle swarm optimization algorithm with physical process is...

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Main Authors: Tian Zhen, Fu Xiaojin, Lv Jing, Zhu Hongyan
Format: Article
Language:English
Published: EDP Sciences 2021-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/24/e3sconf_caes2021_01063.pdf
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spelling doaj-fe2b959fa9ec43d28598ed125eaa2b8e2021-04-13T09:03:01ZengEDP SciencesE3S Web of Conferences2267-12422021-01-012480106310.1051/e3sconf/202124801063e3sconf_caes2021_01063Adaptive Control Strategy of VSG Based on Improved Multi-objective Particle Swarm Optimization AlgorithmTian Zhen0Fu Xiaojin1Lv Jing2Zhu Hongyan3School of Mechanical Engineering, Shanghai Dianji UniversitySchool of Mechanical Engineering, Shanghai Dianji UniversitySchool of Mechanical Engineering, Shanghai Dianji UniversitySchool of Mechanical Engineering, Shanghai Dianji UniversityIn order to solve the problem that the frequency stability of power system is threatened due to inertia and damping reduction. In this paper, an adaptive control strategy of virtual synchronous generator based on improved multi-objective particle swarm optimization algorithm with physical process is proposed. This method takes into account the static and dynamic performance of the system, and in the face of small disturbances, it can adjust the moment of inertia and damping in a planned way and reduce the search range of the moment of inertia, thereby reducing the frequency deviation and speeding up the end of the transition process.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/24/e3sconf_caes2021_01063.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Tian Zhen
Fu Xiaojin
Lv Jing
Zhu Hongyan
spellingShingle Tian Zhen
Fu Xiaojin
Lv Jing
Zhu Hongyan
Adaptive Control Strategy of VSG Based on Improved Multi-objective Particle Swarm Optimization Algorithm
E3S Web of Conferences
author_facet Tian Zhen
Fu Xiaojin
Lv Jing
Zhu Hongyan
author_sort Tian Zhen
title Adaptive Control Strategy of VSG Based on Improved Multi-objective Particle Swarm Optimization Algorithm
title_short Adaptive Control Strategy of VSG Based on Improved Multi-objective Particle Swarm Optimization Algorithm
title_full Adaptive Control Strategy of VSG Based on Improved Multi-objective Particle Swarm Optimization Algorithm
title_fullStr Adaptive Control Strategy of VSG Based on Improved Multi-objective Particle Swarm Optimization Algorithm
title_full_unstemmed Adaptive Control Strategy of VSG Based on Improved Multi-objective Particle Swarm Optimization Algorithm
title_sort adaptive control strategy of vsg based on improved multi-objective particle swarm optimization algorithm
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2021-01-01
description In order to solve the problem that the frequency stability of power system is threatened due to inertia and damping reduction. In this paper, an adaptive control strategy of virtual synchronous generator based on improved multi-objective particle swarm optimization algorithm with physical process is proposed. This method takes into account the static and dynamic performance of the system, and in the face of small disturbances, it can adjust the moment of inertia and damping in a planned way and reduce the search range of the moment of inertia, thereby reducing the frequency deviation and speeding up the end of the transition process.
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/24/e3sconf_caes2021_01063.pdf
work_keys_str_mv AT tianzhen adaptivecontrolstrategyofvsgbasedonimprovedmultiobjectiveparticleswarmoptimizationalgorithm
AT fuxiaojin adaptivecontrolstrategyofvsgbasedonimprovedmultiobjectiveparticleswarmoptimizationalgorithm
AT lvjing adaptivecontrolstrategyofvsgbasedonimprovedmultiobjectiveparticleswarmoptimizationalgorithm
AT zhuhongyan adaptivecontrolstrategyofvsgbasedonimprovedmultiobjectiveparticleswarmoptimizationalgorithm
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