Inertia estimation of new energy power system with virtual inertia response of wind power

The accurate estimation of inertia is the premise of analyzing the security and stability of the system frequency, but the existing methods can not quantitatively evaluate the effect of virtual inertia on the equivalent inertia of the power system. In view of this, an inertia estimation method of po...

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Main Authors: LI Shichun, SONG Qiushuang, XUE Zhenyao, DENG Rui
Format: Article
Language:zho
Published: Editorial Department of Electric Power Engineering Technology 2023-03-01
Series:电力工程技术
Subjects:
Online Access:https://www.epet-info.com/dlgcjsen/article/abstract/220613842
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author LI Shichun
SONG Qiushuang
XUE Zhenyao
DENG Rui
author_facet LI Shichun
SONG Qiushuang
XUE Zhenyao
DENG Rui
author_sort LI Shichun
collection DOAJ
description The accurate estimation of inertia is the premise of analyzing the security and stability of the system frequency, but the existing methods can not quantitatively evaluate the effect of virtual inertia on the equivalent inertia of the power system. In view of this, an inertia estimation method of power system with virtual inertia response of wind power is proposed. Firstly, the theoretical expression of equivalent inertia of power system including virtual inertia response of wind power is derived. Secondly, the phasor measurement unit (PMU) is used to obtain the active power and frequency data at the node of the power generation device. Thirdly, the active power output of the power generation device is taken as the input of the identification model, and the frequency disturbance is taken as the output. Using controlled autoregressive (CAR) model and time-varying forgetting factor recursive least squares (TFF-RLS) algorithm evaluated the equivalent inertia of the whole network under different wind power proportions. Finally, the feasibility and applicability of the proposed method are verified by an improved IEEE-10-machine 39-node system. Compared with the traditional identification method, the accuracy of the inertia estimation of the proposed method is improved, and it is suitable for the time-varying inertia estimation of the new energy power system.
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spelling doaj.art-8aefba71572c49d69564a780d6e7c0ce2023-03-28T03:31:10ZzhoEditorial Department of Electric Power Engineering Technology电力工程技术2096-32032023-03-01422849310.12158/j.2096-3203.2023.02.010220613842Inertia estimation of new energy power system with virtual inertia response of wind powerLI Shichun0SONG Qiushuang1XUE Zhenyao2DENG Rui3College of Electrical Engineering & New Energy, China Three Gorges University, Yichang 443002, ChinaCollege of Electrical Engineering & New Energy, China Three Gorges University, Yichang 443002, ChinaCollege of Electrical Engineering & New Energy, China Three Gorges University, Yichang 443002, ChinaCollege of Electrical Engineering & New Energy, China Three Gorges University, Yichang 443002, ChinaThe accurate estimation of inertia is the premise of analyzing the security and stability of the system frequency, but the existing methods can not quantitatively evaluate the effect of virtual inertia on the equivalent inertia of the power system. In view of this, an inertia estimation method of power system with virtual inertia response of wind power is proposed. Firstly, the theoretical expression of equivalent inertia of power system including virtual inertia response of wind power is derived. Secondly, the phasor measurement unit (PMU) is used to obtain the active power and frequency data at the node of the power generation device. Thirdly, the active power output of the power generation device is taken as the input of the identification model, and the frequency disturbance is taken as the output. Using controlled autoregressive (CAR) model and time-varying forgetting factor recursive least squares (TFF-RLS) algorithm evaluated the equivalent inertia of the whole network under different wind power proportions. Finally, the feasibility and applicability of the proposed method are verified by an improved IEEE-10-machine 39-node system. Compared with the traditional identification method, the accuracy of the inertia estimation of the proposed method is improved, and it is suitable for the time-varying inertia estimation of the new energy power system.https://www.epet-info.com/dlgcjsen/article/abstract/220613842virtual inertial controlhigh penetration wind power systemfrequency stabilitytime-varying parameter identificationinertia estimationnew energy power system
spellingShingle LI Shichun
SONG Qiushuang
XUE Zhenyao
DENG Rui
Inertia estimation of new energy power system with virtual inertia response of wind power
电力工程技术
virtual inertial control
high penetration wind power system
frequency stability
time-varying parameter identification
inertia estimation
new energy power system
title Inertia estimation of new energy power system with virtual inertia response of wind power
title_full Inertia estimation of new energy power system with virtual inertia response of wind power
title_fullStr Inertia estimation of new energy power system with virtual inertia response of wind power
title_full_unstemmed Inertia estimation of new energy power system with virtual inertia response of wind power
title_short Inertia estimation of new energy power system with virtual inertia response of wind power
title_sort inertia estimation of new energy power system with virtual inertia response of wind power
topic virtual inertial control
high penetration wind power system
frequency stability
time-varying parameter identification
inertia estimation
new energy power system
url https://www.epet-info.com/dlgcjsen/article/abstract/220613842
work_keys_str_mv AT lishichun inertiaestimationofnewenergypowersystemwithvirtualinertiaresponseofwindpower
AT songqiushuang inertiaestimationofnewenergypowersystemwithvirtualinertiaresponseofwindpower
AT xuezhenyao inertiaestimationofnewenergypowersystemwithvirtualinertiaresponseofwindpower
AT dengrui inertiaestimationofnewenergypowersystemwithvirtualinertiaresponseofwindpower