Wind-Storage Combined Virtual Inertial Control Based on Quantization and Regulation Decoupling of Active Power Increments

With the increasing proportion of wind turbines in power grids, they are required to have capabilities of active and efficient virtual inertial response to maintain grid frequency stability. However, the virtual inertial control methods currently used in doubly-fed induction generator (DFIG) units s...

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Main Authors: Dezhi Ma, Wenyi Li
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/15/14/5184
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author Dezhi Ma
Wenyi Li
author_facet Dezhi Ma
Wenyi Li
author_sort Dezhi Ma
collection DOAJ
description With the increasing proportion of wind turbines in power grids, they are required to have capabilities of active and efficient virtual inertial response to maintain grid frequency stability. However, the virtual inertial control methods currently used in doubly-fed induction generator (DFIG) units suffer from a secondary frequency drop (SFD) problem. Although the SFD can be inhibited by reducing the active power support strength of the DFIG units during inertia response, it will undoubtedly weaken the virtual inertia of the units. Therefore, how to eliminate the SFD while increasing the virtual inertia of the units is a worthy issue for studying. To solve this issue, a wind-storage combined virtual inertial control system based on quantization and regulation decoupling of active power increments is proposed in this paper. First, by setting the parameters of a proportional–differential (P-D) algorithm, the total active power increments required for virtual inertial response are quantified at the DFIG level. Secondly, a curve-shifting method based on the rate of change of frequency is adopted to adjust the active power output of the DFIG units. Finally, a battery energy storage system (BESS) is used to compensate for the power shortages of the units according to the quantized value of the active power increments. Simulations show that the control method can not only eliminate SFD but also effectively increase the system’s virtual inertia.
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spelling doaj.art-3cda40f668704eef88b57296054d82632023-12-01T22:07:25ZengMDPI AGEnergies1996-10732022-07-011514518410.3390/en15145184Wind-Storage Combined Virtual Inertial Control Based on Quantization and Regulation Decoupling of Active Power IncrementsDezhi Ma0Wenyi Li1Collage of Energy and Power Engineering, Inner Mongolia University of Technology, Hohhot 010051, ChinaCollage of Energy and Power Engineering, Inner Mongolia University of Technology, Hohhot 010051, ChinaWith the increasing proportion of wind turbines in power grids, they are required to have capabilities of active and efficient virtual inertial response to maintain grid frequency stability. However, the virtual inertial control methods currently used in doubly-fed induction generator (DFIG) units suffer from a secondary frequency drop (SFD) problem. Although the SFD can be inhibited by reducing the active power support strength of the DFIG units during inertia response, it will undoubtedly weaken the virtual inertia of the units. Therefore, how to eliminate the SFD while increasing the virtual inertia of the units is a worthy issue for studying. To solve this issue, a wind-storage combined virtual inertial control system based on quantization and regulation decoupling of active power increments is proposed in this paper. First, by setting the parameters of a proportional–differential (P-D) algorithm, the total active power increments required for virtual inertial response are quantified at the DFIG level. Secondly, a curve-shifting method based on the rate of change of frequency is adopted to adjust the active power output of the DFIG units. Finally, a battery energy storage system (BESS) is used to compensate for the power shortages of the units according to the quantized value of the active power increments. Simulations show that the control method can not only eliminate SFD but also effectively increase the system’s virtual inertia.https://www.mdpi.com/1996-1073/15/14/5184DFIGvirtual inertiaSFDP-D algorithmcurve-shifting methodBESS
spellingShingle Dezhi Ma
Wenyi Li
Wind-Storage Combined Virtual Inertial Control Based on Quantization and Regulation Decoupling of Active Power Increments
Energies
DFIG
virtual inertia
SFD
P-D algorithm
curve-shifting method
BESS
title Wind-Storage Combined Virtual Inertial Control Based on Quantization and Regulation Decoupling of Active Power Increments
title_full Wind-Storage Combined Virtual Inertial Control Based on Quantization and Regulation Decoupling of Active Power Increments
title_fullStr Wind-Storage Combined Virtual Inertial Control Based on Quantization and Regulation Decoupling of Active Power Increments
title_full_unstemmed Wind-Storage Combined Virtual Inertial Control Based on Quantization and Regulation Decoupling of Active Power Increments
title_short Wind-Storage Combined Virtual Inertial Control Based on Quantization and Regulation Decoupling of Active Power Increments
title_sort wind storage combined virtual inertial control based on quantization and regulation decoupling of active power increments
topic DFIG
virtual inertia
SFD
P-D algorithm
curve-shifting method
BESS
url https://www.mdpi.com/1996-1073/15/14/5184
work_keys_str_mv AT dezhima windstoragecombinedvirtualinertialcontrolbasedonquantizationandregulationdecouplingofactivepowerincrements
AT wenyili windstoragecombinedvirtualinertialcontrolbasedonquantizationandregulationdecouplingofactivepowerincrements