Stability analysis for sub‐synchronous oscillations in multi‐DFIGs connected system considering the interaction between generators

Abstract In order to reveal the multi‐DFIGs interaction mechanism in DFIG wind farms (DFIG‐WFs), this paper proposes a method based on dynamic energy flow path for stability analysis of sub‐synchronous oscillations in multi‐DFIGs connected system. First, the detailed dynamic energy model of DFIG‐WFs...

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Main Authors: Yaqi Shen, Jing Ma, Yufeng Zhao
Format: Article
Language:English
Published: Wiley 2023-10-01
Series:IET Renewable Power Generation
Subjects:
Online Access:https://doi.org/10.1049/rpg2.12847
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author Yaqi Shen
Jing Ma
Yufeng Zhao
author_facet Yaqi Shen
Jing Ma
Yufeng Zhao
author_sort Yaqi Shen
collection DOAJ
description Abstract In order to reveal the multi‐DFIGs interaction mechanism in DFIG wind farms (DFIG‐WFs), this paper proposes a method based on dynamic energy flow path for stability analysis of sub‐synchronous oscillations in multi‐DFIGs connected system. First, the detailed dynamic energy model of DFIG‐WFs is established considering the inter‐DFIGs coupling effect, and the energy flow paths among multi‐DFIGs are revealed. From this, the interaction energy coefficient is defined to describe the effect of multi‐DFIGs interaction on the system stability, which can be divided into two items: the inter‐DFIGs induction coefficient and the inter‐DFIGs circulation coefficient. On this basis, how the differences in the parameters affect these coefficients are analysed. In this way, the effects of multi‐DFIGs interaction on the oscillation are clarified. Finally, a wind farm model is built in RT‐LAB for simulation verification. The results show that, the changes in DFIG parameters may have mutually exclusive effects on the two coefficients. When the parameters of DFIGs differ greatly, the circulation effect is dominant, which is mainly determined by the difference between DFIGs. If the parameters of DFIGs are similar to each other, the induction effect is dominant and the influence law of parameters is consistent with that of single equivalent model.
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spelling doaj.art-331a9da786874110aa15baf3c2e889672025-02-28T15:00:14ZengWileyIET Renewable Power Generation1752-14161752-14242023-10-0117133325333910.1049/rpg2.12847Stability analysis for sub‐synchronous oscillations in multi‐DFIGs connected system considering the interaction between generatorsYaqi Shen0Jing Ma1Yufeng Zhao2The State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing ChinaThe State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing ChinaThe State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing ChinaAbstract In order to reveal the multi‐DFIGs interaction mechanism in DFIG wind farms (DFIG‐WFs), this paper proposes a method based on dynamic energy flow path for stability analysis of sub‐synchronous oscillations in multi‐DFIGs connected system. First, the detailed dynamic energy model of DFIG‐WFs is established considering the inter‐DFIGs coupling effect, and the energy flow paths among multi‐DFIGs are revealed. From this, the interaction energy coefficient is defined to describe the effect of multi‐DFIGs interaction on the system stability, which can be divided into two items: the inter‐DFIGs induction coefficient and the inter‐DFIGs circulation coefficient. On this basis, how the differences in the parameters affect these coefficients are analysed. In this way, the effects of multi‐DFIGs interaction on the oscillation are clarified. Finally, a wind farm model is built in RT‐LAB for simulation verification. The results show that, the changes in DFIG parameters may have mutually exclusive effects on the two coefficients. When the parameters of DFIGs differ greatly, the circulation effect is dominant, which is mainly determined by the difference between DFIGs. If the parameters of DFIGs are similar to each other, the induction effect is dominant and the influence law of parameters is consistent with that of single equivalent model.https://doi.org/10.1049/rpg2.12847DFIG wind farmenergy flow pathmulti‐DFIGs interactionsubsynchronous oscillation
spellingShingle Yaqi Shen
Jing Ma
Yufeng Zhao
Stability analysis for sub‐synchronous oscillations in multi‐DFIGs connected system considering the interaction between generators
IET Renewable Power Generation
DFIG wind farm
energy flow path
multi‐DFIGs interaction
subsynchronous oscillation
title Stability analysis for sub‐synchronous oscillations in multi‐DFIGs connected system considering the interaction between generators
title_full Stability analysis for sub‐synchronous oscillations in multi‐DFIGs connected system considering the interaction between generators
title_fullStr Stability analysis for sub‐synchronous oscillations in multi‐DFIGs connected system considering the interaction between generators
title_full_unstemmed Stability analysis for sub‐synchronous oscillations in multi‐DFIGs connected system considering the interaction between generators
title_short Stability analysis for sub‐synchronous oscillations in multi‐DFIGs connected system considering the interaction between generators
title_sort stability analysis for sub synchronous oscillations in multi dfigs connected system considering the interaction between generators
topic DFIG wind farm
energy flow path
multi‐DFIGs interaction
subsynchronous oscillation
url https://doi.org/10.1049/rpg2.12847
work_keys_str_mv AT yaqishen stabilityanalysisforsubsynchronousoscillationsinmultidfigsconnectedsystemconsideringtheinteractionbetweengenerators
AT jingma stabilityanalysisforsubsynchronousoscillationsinmultidfigsconnectedsystemconsideringtheinteractionbetweengenerators
AT yufengzhao stabilityanalysisforsubsynchronousoscillationsinmultidfigsconnectedsystemconsideringtheinteractionbetweengenerators