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ORIGINAL RESEARCH article
Front. Energy Res.
Sec. Energy Storage
Volume 12 - 2024 |
doi: 10.3389/fenrg.2024.1416591
This article is part of the Research Topic Generalized Energy Storage in Distributed Energy Systems View all 4 articles
Sliding Mode Control Strategy of Grid-Forming Energy Storage Converter with Fast Active Support of Frequency and Voltage
Provisionally accepted- 1 State Grid Hangzhou Power Supply Company, Hangzhou 310000, China
- 2 School of Automation, Wuhan University of Technology, Wuhan 430070, China
The random fluctuation of renewable power generation output makes the frequency and voltage of distribution network fluctuate frequently. And the stable operation performance of the system is decreased. Therefore, the sliding mode control (SMC) strategy of grid-forming (GFM) energy storage converter with fast active support of frequency and voltage is proposed in this paper. Firstly, the virtual synchronous generator (VSG) control possessing the superior GFM performance is applied to singlestage neutral point clamped (NPC) converter of energy storage system. Meantime, the improved comprehensive equivalent circuit model of lithium iron phosphate battery and equivalent model of converter are constructed by means of ampere-hour method and Kirchhoff's law. Then, the SMC with fast response and strong robustness is utilized into the current inner-loop controller. Combined with VSG control, the SMC strategy of GFM energy storage converter is proposed, so that the converter could play an active supporting role by quickly adjusting the output power while the frequency and voltage are reduced. Finally, the simulation model of GFM energy storage converter SMC system is established. Through the simulation analyses, it can be seen that the response time of the proposed strategy to complete the active support is about 0.65s.
Keywords: sliding mode control1, grid forming control2, energy storage system3, control of frequency and voltage4, battery modeling5
Received: 12 Apr 2024; Accepted: 05 Jul 2024.
Copyright: © 2024 Hu, WANG, Wang, Chen and Tang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Haiyan Chen, State Grid Hangzhou Power Supply Company, Hangzhou 310000, China
Aihong Tang, School of Automation, Wuhan University of Technology, Wuhan 430070, China
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Haiyan Chen
1*