Oscillation Mechanism and Mitigation of MMC-HVDC Based on Bifurcation Theory for Wind Farm Integration

Modular multilevel converter based highvoltage DC transmission (MMC-HVDC) technology has become a feasible approach from grid integration of large wind farms. As oscillations has been reported on certain number of MMC-HVDC projects with wind power, the mechanism and analytical methods are urgent issues for studying. The current commonly used modeling methods cannot meet the characteristics of MMC topology due to the complex pulse mode shown in a switching period. Therefore, a new method is proposed to effectively solve the stroboscopic mapping modeling problem of multilevel converters. On the basis of traditional proportional resonant (PR) control, a time-delay feedback control (TDFC) loop is added to effectively suppress the current oscillation. Taking the 21 level MMC topology as an example, the discrete model is obtained by the method of switch state traversal, and the correctness of the theoretical analysis and the proposed strategy of oscillation current suppression is verified by simulation.

[1]  Hamid Reza Karimi,et al.  Dissipativity-Based Fuzzy Integral Sliding Mode Control of Continuous-Time T-S Fuzzy Systems , 2018, IEEE Transactions on Fuzzy Systems.

[2]  Jean Mahseredjian,et al.  Simulation of startup sequence of an offshore wind farm with MMC-HVDC grid connection , 2017, 2017 IEEE Power & Energy Society General Meeting.

[3]  Jun Liang,et al.  Circulating current suppression for MMC-HVDC under unbalanced grid conditions , 2016, 2016 IEEE Industry Applications Society Annual Meeting.

[4]  Gilsoo Jang,et al.  Advanced fault ride-through strategy by an MMC HVDC transmission for off-shore wind farm interconnection , 2019 .

[5]  Tao Yuan,et al.  A Novel Active Mechanical HVDC Breaker With Consecutive Interruption Capability for Fault Clearances in MMC-HVDC Systems , 2019, IEEE Transactions on Industrial Electronics.

[6]  Jian Sun,et al.  Sequence Impedance Modeling and Analysis of Type-III Wind Turbines , 2018, IEEE Transactions on Energy Conversion.

[7]  Marta Molinas,et al.  Self-Synchronization of Wind Farm in an MMC-Based HVDC System: A Stability Investigation , 2017, IEEE Transactions on Energy Conversion.

[8]  Gengyin Li,et al.  Probabilistic assessment of oscillatory stability margin of power systems incorporating wind farms , 2014 .

[9]  G. J. Li,et al.  Implementation of coordinated multiple facts controllers for damping oscillations , 2000 .

[10]  Dionisio Ramirez,et al.  Assessment of a non linear current control technique applied to MMC-HVDC during grid disturbances , 2017 .

[11]  Chengyong Zhao,et al.  Control Strategy of MMC-HVDC under Unbalanced Grid Voltage Conditions , 2015 .

[12]  Mohammad Hassan Khooban,et al.  Control of a class of non-linear uncertain chaotic systems via an optimal Type-2 fuzzy proportional integral derivative controller , 2013 .

[13]  Yan Peng,et al.  Adaptive Sliding Mode Fault-Tolerant Fuzzy Tracking Control With Application to Unmanned Marine Vehicles , 2021, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[14]  Jiandong Wang,et al.  Detection and classification of short-circuit faults in distribution networks based on Fortescue approach and Softmax regression , 2020 .

[15]  Jang-Mok Kim,et al.  Model Predictive Control With a Reduced Number of Considered States in a Modular Multilevel Converter for HVDC System , 2015, IEEE Transactions on Power Delivery.

[16]  Chunyi Guo,et al.  A Novel Coordinated Control Approach for Commutation Failure Mitigation in Hybrid Parallel-HVDC System with MMC-HVDC and LCC-HVDC , 2017 .

[17]  Xu Cai,et al.  Optimal Design of Controller Parameters for Improving the Stability of MMC-HVDC for Wind Farm Integration , 2018, IEEE Journal of Emerging and Selected Topics in Power Electronics.

[18]  Chengyong Zhao,et al.  Optimal Design of MMC Levels for Electromagnetic Transient Studies of MMC-HVDC , 2016, IEEE Transactions on Power Delivery.

[19]  Seema Singh,et al.  Towards reactive power dispatch within a wind farm using hybrid PSO , 2015 .