Optimization Control of Rectifier in HVDC System with ADHDP

2011 ◽  
pp. 143-151 ◽  
Author(s):  
Chunning Song ◽  
Xiaohua Zhou ◽  
Xiaofeng Lin ◽  
Shaojian Song
Keyword(s):  
Hvdc System ◽  
Optimization Control

Self-Synchronization of Wind Farm in an MMC-Based HVDC System: A Stability Investigation

2017 ◽  
Vol 32 (2) ◽  
pp. 458-470 ◽  
Author(s):  
Mohammad Amin ◽  
Atle Rygg ◽  
Marta Molinas
Keyword(s):  
Wind Farm ◽  
Stability Investigation ◽  
Hvdc System ◽  
System A

scholarly journals A Control Parameter Design Method for Hybrid Multi-Terminal HVDC System

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 18669-18680 ◽  
Author(s):  
Bingkun Li ◽  
Yuansheng Liang ◽  
Gang Wang ◽  
Haifeng Li ◽  
Xinquan Chen
Keyword(s):  
Control Parameter ◽  
Design Method ◽  
Parameter Design ◽  
Hvdc System

Single-ended line fault location method for multi-terminal HVDC system based on optimized variational mode decomposition

2021 ◽  
Vol 194 ◽  
pp. 107054
Author(s):  
Qing Huai ◽  
Kaipei Liu ◽  
Ali Hooshyar ◽  
Hua Ding ◽  
Kun Chen ◽  
...  
Keyword(s):  
Fault Location ◽  
Variational Mode Decomposition ◽  
Location Method ◽  
Hvdc System ◽  
Mode Decomposition

Coordinated optimization control of shield machine based on dynamic fuzzy neural network direct inverse control

2020 ◽  
pp. 014233122098027
Author(s):  
Xuanyu Liu ◽  
Wentao Wang ◽  
Yudong Wang ◽  
Cheng Shao ◽  
Qiumei Cong
Keyword(s):  
Fuzzy Neural Network ◽  
Control Method ◽  
Earth Pressure ◽  
Screw Conveyor ◽  
Inverse Control ◽  
The Earth ◽  
Coordinated Optimization ◽  
Optimization Control ◽  
Fuzzy Neural ◽  
Shield Machine

During shield machine tunneling, the earth pressure in the sealed cabin must be kept balanced to ensure construction safety. As there is a strong nonlinear coupling relationship among the tunneling parameters, it is difficult to control the balance between the amount of soil entered and the amount discharged in the sealed cabin. So, the control effect of excavation face stability is poor. For this purpose, a coordinated optimization control method of shield machine based on dynamic fuzzy neural network (D-FNN) direct inverse control is proposed. The cutter head torque, advance speed, thrust, screw conveyor speed and earth pressure difference in the sealed cabin are selected as inputs, and the D-FNN control model of the control parameters is established, whose output are screw conveyor speed and advance speed at the next moment. The error reduction rate method is introduced to trim and identify the network structure to optimize the control model. On this basis, an optimal control system for earth pressure balance (EPB) of shield machine is established based on the direct inverse control method. The simulation results show that the method can optimize the control parameters coordinately according to the changes of the construction environment, effectively reduce the earth pressure fluctuations during shield tunneling, and can better control the stability of the excavation surface.

scholarly journals A Novel Adaptive Control Approach Based on Available Headroom of the VSC-HVDC for Enhancement of the AC Voltage Stability

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3222
Author(s):  
Duc Nguyen Huu
Keyword(s):  
Adaptive Control ◽  
Voltage Stability ◽  
Reactive Power ◽  
Control Method ◽  
Offshore Wind ◽  
Voltage Source ◽  
Long Distance ◽  
Control Approach ◽  
Hvdc System ◽  
Voltage Support

Increasing offshore wind farms are rapidly installed and planned. However, this will pose a bottle neck challenge for long-distance transmission as well as inherent variation of their generating power outputs to the existing AC grid. VSC-HVDC links could be an effective and flexible method for this issue. With the growing use of voltage source converter high-voltage direct current (VSC-HVDC) technology, the hybrid VSC-HVDC and AC system will be a next-generation transmission network. This paper analyzes the contribution of the multi VSC-HVDC system on the AC voltage stability of the hybrid system. A key contribution of this research is proposing a novel adaptive control approach of the VSC-HVDC as a so-called dynamic reactive power booster to enhance the voltage stability of the AC system. The core idea is that the novel control system is automatically providing a reactive current based on dynamic frequency of the AC system to maximal AC voltage support. Based on the analysis, an adaptive control method applied to the multi VSC-HVDC system is proposed to realize maximum capacity of VSC for reactive power according to the change of the system frequency during severe faults of the AC grid. A representative hybrid AC-DC network based on Germany is developed. Detailed modeling of the hybrid AC-DC network and its proposed control is derived in PSCAD software. PSCAD simulation results and analysis verify the effective performance of this novel adaptive control of VSC-HVDC for voltage support. Thanks to this control scheme, the hybrid AC-DC network can avoid circumstances that lead to voltage instability.

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