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Comparative Analysis of Fuzzy Logic and Synchronous Reference Frame Controlled LVRT Capability Enhancement in Wind Energy System Using DVR and STATCOM

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Sustainable Energy and Technological Advancements

Abstract

This study examines the different techniques utilized to enhance the low-voltage ride through (LVRT) capabilities of double-fed induction generators (DFIG)-based wind turbine systems (WT). As the globe uses around 20–25% of renewable energy from wind, the Type-III WT machine, which is largely based on DFIG, is immediately linked to the grid without the digital interface of power, causing the terminal voltage or reactive electricity output to be unmanageable. As a result, this study presented new LVRT methods based on the implementation of additional active interface technologies. Many techniques are presently being investigated to address the low voltage fault problem. By analyzing LVRT techniques for DFIG-based WECS, this report aims to determine such working methods by bridging the gap in terms of total adaptive performance, operative complexity of controllers, and cost-effectiveness. This study highlights the techniques to increase LVRT’s ability to depend on the relationship setup in three main areas based on their grid integrations. In this paper, DVR and STATCOM are connected to the wind turbine system for active and reactive power control under fault detection process. With synchronous reference frame and without synchronous reference frame operations are highlighted in this work, and using STATCOM with SRF theory gives better response during faults to improve active and reactive power. The mathematical models of the entire system are simulated and examined using MATLAB Simulink.

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Kabat, S.R., Panigrahi, C.K., Ganthia, B.P. (2022). Comparative Analysis of Fuzzy Logic and Synchronous Reference Frame Controlled LVRT Capability Enhancement in Wind Energy System Using DVR and STATCOM. In: Panda, G., Naayagi, R.T., Mishra, S. (eds) Sustainable Energy and Technological Advancements. Advances in Sustainability Science and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-16-9033-4_32

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  • DOI: https://doi.org/10.1007/978-981-16-9033-4_32

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  • Online ISBN: 978-981-16-9033-4

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