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Article

Virtual Inertia Adaptive Control of a Doubly Fed Induction Generator (DFIG) Wind Power System with Hydrogen Energy Storage

1
Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116024, China
2
State Grid Tongling Power Supply Company, Tongling 244000, China
3
School of Engineering & Applied Science, Aston University, Birmingham, Birmingham B4 7ET, UK
4
State Grid Xinjiang Electric Power Corporation, Urumqi 830002, China
*
Author to whom correspondence should be addressed.
Energies 2018, 11(4), 904; https://doi.org/10.3390/en11040904
Received: 31 March 2018 / Revised: 31 March 2018 / Accepted: 10 April 2018 / Published: 12 April 2018
(This article belongs to the Special Issue Wind Turbine Loads and Wind Plant Performance)
This paper presents a doubly fed induction generator (DFIG) wind power system with hydrogen energy storage, with a focus on its virtual inertia adaptive control. Conventionally, a synchronous generator has a large inertia from its rotating rotor, and thus its kinetic energy can be used to damp out fluctuations from the grid. However, DFIGs do not provide such a mechanism as their rotor is disconnected with the power grid, owing to the use of back-to-back power converters between the two. In this paper, a hydrogen energy storage system is utilized to provide a virtual inertia so as to dampen the disturbances and support the grid’s stability. An analytical model is developed based on experimental data and test results show that: (1) the proposed method is effective in supporting the grid frequency; (2) the maximum power point tracking is achieved by implementing this proposed system; and, (3) the DFIG efficiency is improved. The developed system is technically viable and can be applied to medium and large wind power systems. The hydrogen energy storage is a clean and environmental-friendly technology, and can increase the renewable energy penetration in the power network. View Full-Text
Keywords: DFIGs; energy storage; virtual inertia adaptive control; wind power DFIGs; energy storage; virtual inertia adaptive control; wind power
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MDPI and ACS Style

Yuan, T.; Wang, J.; Guan, Y.; Liu, Z.; Song, X.; Che, Y.; Cao, W. Virtual Inertia Adaptive Control of a Doubly Fed Induction Generator (DFIG) Wind Power System with Hydrogen Energy Storage. Energies 2018, 11, 904. https://doi.org/10.3390/en11040904

AMA Style

Yuan T, Wang J, Guan Y, Liu Z, Song X, Che Y, Cao W. Virtual Inertia Adaptive Control of a Doubly Fed Induction Generator (DFIG) Wind Power System with Hydrogen Energy Storage. Energies. 2018; 11(4):904. https://doi.org/10.3390/en11040904

Chicago/Turabian Style

Yuan, Tiejiang, Jinjun Wang, Yuhang Guan, Zheng Liu, Xinfu Song, Yong Che, and Wenping Cao. 2018. "Virtual Inertia Adaptive Control of a Doubly Fed Induction Generator (DFIG) Wind Power System with Hydrogen Energy Storage" Energies 11, no. 4: 904. https://doi.org/10.3390/en11040904

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