MMC-HVDC High-Frequency Resonance Suppression Strategy Based on Multi-Band Band-Stop Filters
-
Published:2023-09-05
Issue:18
Volume:15
Page:13309
-
ISSN:2071-1050
-
Container-title:Sustainability
-
language:en
-
Short-container-title:Sustainability
Author:
Cui Tinghe1, Wang Weiqing1, Wang Haiyun1
Affiliation:
1. College of Electrical Engineering, Xinjiang University, Urumqi 830000, China
Abstract
Renewable energy generation is a manifestation of global economic and societal advancement and serves as a fundamental assurance for humanity’s pursuit of sustainable development. However, recent years have witnessed several instances of high-frequency resonance events in high-voltage direct current (HVDC) transmission systems based on modular multilevel converters (MMC), which have resulted in converter station tripping and significant repercussions on the alternating current (AC) grid. This paper addresses the mid-to-high frequency resonance issues prevalent in flexible DC transmission systems employing modular multilevel converters (MMC-HVDC). To tackle these concerns, an impedance model for MMC’s AC side is established. Utilizing impedance analysis, the essential factors contributing to the negative damping characteristics of MMC are identified as delay and voltage feedforward loops, predominantly causing negative damping in the frequency range exceeding 400 Hz. In response, a suppression strategy is proposed, involving the incorporation of a multi-band stop filter and virtual impedance. This strategy ensures that within the 0–2000 Hz frequency range, only the impedance phase within 230–430 Hz slightly surpasses 90°. Consequently, the phase difference between MMC’s positive-sequence impedance and the AC system impedance is reduced from 222° to 174.7°, thus guaranteeing secure grid operation. Lastly, the accuracy and effectiveness of the theoretical analysis and suppression methodology are verified through the development of an electromagnetic transient model in MATLAB/Simulink, considering delay fluctuations of ±10%.
Funder
National Natural Science Foundation of China Major Science and Technology Special Project of Xinjiang Uygur Autonomous Region Science and Technology Department
Subject
Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction
Reference27 articles.
1. Chen, Q., Li, Q., Wu, J., He, J., Mao, C., Li, Z., and Yang, B. (2023). State Monitoring and Fault Diagnosis of HVDC System via KNN Algorithm with Knowledge Graph: A Practical China Power Grid Case. Sustainability, 15. 2. Improving Low-Voltage Ride-Through Capability of a Multimegawatt DFIG Based Wind Turbine under Grid Faults;Mohamed;Prot. Control Mod. Power Syst.,2020 3. Srilakshmi, K., Sujatha, C.N., Balachandran, P.K., Mihet-Popa, L., and Kumar, N.U. (2022). Optimal Design of an Artificial Intelligence Controller for Solar-Battery Integrated UPQC in Three Phase Distribution Networks. Sustainability, 14. 4. Khemili, F.Z., Bouhali, O., Lefouili, M., Chaib, L., El-Fergany, A.A., and Agwa, A.M. (2023). Design of Cascaded Multilevel Inverter and Enhanced MPPT Method for Large-Scale Photovoltaic System Integration. Sustainability, 15. 5. Khan, H.S., and Memon, A.Y. (2023). Active and Reactive Power Control of the Voltage Source Inverter in an AC Microgrid. Sustainability, 15.
|
|