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

Yuan, Tiejiang, Wang, Jinjun, Guan, Yuhang, Liu, Zheng, Song, Xinfu, Che, Yong and Cao, Wenping (2018). Virtual Inertia Adaptive Control of a Doubly Fed Induction Generator (DFIG) Wind Power System with Hydrogen Energy Storage. Energies, 11 (4), p. 904.

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.

Publication DOI: https://doi.org/10.3390/en11040904
Divisions: Engineering & Applied Sciences
Additional Information: © 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 (http://creativecommons.org/licenses/by/4.0/). 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).
Uncontrolled Keywords: DFIGs,energy storage,virtual inertia adaptive control,wind power
Full Text Link: http://www.mdpi ... 6-1073/11/4/904
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Published Date: 2018-04-12
Authors: Yuan, Tiejiang
Wang, Jinjun
Guan, Yuhang
Liu, Zheng
Song, Xinfu
Che, Yong
Cao, Wenping ( 0000-0002-8133-3020)

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