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, Wenping Cao

Research output: Contribution to journalArticlepeer-review


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.
Original languageEnglish
Pages (from-to)904
Issue number4
Publication statusPublished - 12 Apr 2018

Bibliographical note

© 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution
(CC BY) license (

Funding: National Key Research and Development Plan of China
(2017YFB0903500), National Natural Science Foundation of China (51577163) and Key Research Project of State Grid Corporation of China (5230HQ16016U).


  • DFIGs
  • energy storage
  • virtual inertia adaptive control
  • wind power


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