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

Tiejiang Yuan, Jinjun Wang, Yuhang Guan, Zheng Liu, Xinfu Song, Yong Che and Wenping Cao
Additional contact information
Tiejiang Yuan: Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116024, China
Jinjun Wang: Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116024, China
Yuhang Guan: State Grid Tongling Power Supply Company, Tongling 244000, China
Zheng Liu: School of Engineering & Applied Science, Aston University, Birmingham, Birmingham B4 7ET, UK
Xinfu Song: State Grid Xinjiang Electric Power Corporation, Urumqi 830002, China
Yong Che: State Grid Xinjiang Electric Power Corporation, Urumqi 830002, China
Wenping Cao: Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116024, China

Energies, 2018, vol. 11, issue 4, 1-16

Abstract: 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.

Keywords: DFIGs; energy storage; virtual inertia adaptive control; wind power (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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