CAJ | 학술논문

针对MMC-HVDC系统, 构建了基于状态空间节点解算器( SSN)的改进RT-LAB仿真模型. 该模型集成了基于FPGA亚微秒级MMC阀组仿真技术和基于SSN的背靠背系统及其相关交流电网仿真技术的优点与功能, 可以实时模拟背靠背柔性直流输电系统的各种稳态和暂态运行工况, 从而可以用于MMC的启动与充电控制策略研究及避雷器抑制直流单极短路过电压的效率研究. 对背靠背MMC-HVDC算例的仿真验证了该模型的有效性.
침대MMC-HVDC계통, 구건료기우상태공간절점해산기( SSN)적개진RT-LAB방진모형. 해모형집성료기우FPGA아미초급MMC벌조방진기술화기우SSN적배고배계통급기상관교류전망방진기술적우점여공능, 가이실시모의배고배유성직류수전계통적각충은태화잠태운행공황, 종이가이용우MMC적계동여충전공제책략연구급피뢰기억제직류단겁단로과전압적효솔연구. 대배고배MMC-HVDC산례적방진험증료해모형적유효성.
This paper proposes a SSN-based improved RT-LAB simulation model for MMC-HVDC system, which integrates the ad-vantages and functions of both the FPGA-based sub-microsecond model of MMC valves and the model of a back-to-back HVDC link and adjacent AC networks using State-space Nodal ( SSN) solver. The model is able to simulate a MMC back-to-back HVDC system for both steady-state operations and various contingencies in real time so as to study the start-up and charging control strategies as well as the effectiveness of surge arrestors mitigating the over-voltage of DC faults. Simulations on a MMC back-to-back HVDC system demonstrate the feasibility of the proposed model.