Parameter adaptive model predictive control strategy of NPC three-level virtual synchronous generator

The Virtual Synchronous Generator (VSG) emulates the characteristics of a synchronous generator to provide inertia and damping for renewable energy systems. In the case of using the NPC three-level converter structure, traditional control methods require complex dual-loop control and internal PI par...

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Main Authors: Xiaoliang Yang, Rui Wang, Nan Jin, Jiane Zhao, Yuyue Cui, Yihao Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-09-01
Series:Frontiers in Energy Research
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2023.1236646/full
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author Xiaoliang Yang
Xiaoliang Yang
Rui Wang
Rui Wang
Nan Jin
Nan Jin
Jiane Zhao
Yuyue Cui
Yuyue Cui
Yihao Li
Yihao Li
author_facet Xiaoliang Yang
Xiaoliang Yang
Rui Wang
Rui Wang
Nan Jin
Nan Jin
Jiane Zhao
Yuyue Cui
Yuyue Cui
Yihao Li
Yihao Li
author_sort Xiaoliang Yang
collection DOAJ
description The Virtual Synchronous Generator (VSG) emulates the characteristics of a synchronous generator to provide inertia and damping for renewable energy systems. In the case of using the NPC three-level converter structure, traditional control methods require complex dual-loop control and internal PI parameter tuning. Furthermore, although fixed-parameter VSG control can provide inertia and damping when a significant power load is switched in an islanded microgrid, it cannot guarantee frequency regulation performance. To address these issues, this paper proposes an NPC three-level VSG parameter adaptive finite control set model predictive control strategy. This method eliminates the need for dual-loop control and PI parameter tuning. By incorporating angular velocity deviation and its rate of change into adaptive adjustment, a Tracking-Differentiator (TD) is designed to calculate the rate of change of angular velocity. This approach avoids frequent fluctuation of adaptive parameters during load power switching and improves the frequency stability of the microgrid. The effectiveness of the proposed strategy is validated through simulation and experimental verification.
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spelling doaj.art-126ba12c52114b728662b0a1e92cd1ad2023-09-04T09:46:32ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2023-09-011110.3389/fenrg.2023.12366461236646Parameter adaptive model predictive control strategy of NPC three-level virtual synchronous generatorXiaoliang Yang0Xiaoliang Yang1Rui Wang2Rui Wang3Nan Jin4Nan Jin5Jiane Zhao6Yuyue Cui7Yuyue Cui8Yihao Li9Yihao Li10College of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou, ChinaHenan Key Lab of Information Based Electrical Appliances, Zhengzhou, ChinaCollege of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou, ChinaHenan Key Lab of Information Based Electrical Appliances, Zhengzhou, ChinaCollege of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou, ChinaHenan Key Lab of Information Based Electrical Appliances, Zhengzhou, ChinaCollege of Electrical and Electronic Engineering, Zhengzhou University of Science and Technology, Zhengzhou, ChinaCollege of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou, ChinaHenan Key Lab of Information Based Electrical Appliances, Zhengzhou, ChinaCollege of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou, ChinaHenan Key Lab of Information Based Electrical Appliances, Zhengzhou, ChinaThe Virtual Synchronous Generator (VSG) emulates the characteristics of a synchronous generator to provide inertia and damping for renewable energy systems. In the case of using the NPC three-level converter structure, traditional control methods require complex dual-loop control and internal PI parameter tuning. Furthermore, although fixed-parameter VSG control can provide inertia and damping when a significant power load is switched in an islanded microgrid, it cannot guarantee frequency regulation performance. To address these issues, this paper proposes an NPC three-level VSG parameter adaptive finite control set model predictive control strategy. This method eliminates the need for dual-loop control and PI parameter tuning. By incorporating angular velocity deviation and its rate of change into adaptive adjustment, a Tracking-Differentiator (TD) is designed to calculate the rate of change of angular velocity. This approach avoids frequent fluctuation of adaptive parameters during load power switching and improves the frequency stability of the microgrid. The effectiveness of the proposed strategy is validated through simulation and experimental verification.https://www.frontiersin.org/articles/10.3389/fenrg.2023.1236646/fullvirtual synchronous generator (VSG)neutral point clamped (NPC)finite control set model predictive control (FCS-MPC)parameter adaptivefrequency regulation
spellingShingle Xiaoliang Yang
Xiaoliang Yang
Rui Wang
Rui Wang
Nan Jin
Nan Jin
Jiane Zhao
Yuyue Cui
Yuyue Cui
Yihao Li
Yihao Li
Parameter adaptive model predictive control strategy of NPC three-level virtual synchronous generator
Frontiers in Energy Research
virtual synchronous generator (VSG)
neutral point clamped (NPC)
finite control set model predictive control (FCS-MPC)
parameter adaptive
frequency regulation
title Parameter adaptive model predictive control strategy of NPC three-level virtual synchronous generator
title_full Parameter adaptive model predictive control strategy of NPC three-level virtual synchronous generator
title_fullStr Parameter adaptive model predictive control strategy of NPC three-level virtual synchronous generator
title_full_unstemmed Parameter adaptive model predictive control strategy of NPC three-level virtual synchronous generator
title_short Parameter adaptive model predictive control strategy of NPC three-level virtual synchronous generator
title_sort parameter adaptive model predictive control strategy of npc three level virtual synchronous generator
topic virtual synchronous generator (VSG)
neutral point clamped (NPC)
finite control set model predictive control (FCS-MPC)
parameter adaptive
frequency regulation
url https://www.frontiersin.org/articles/10.3389/fenrg.2023.1236646/full
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