Power Systems Engineering Research Center

S-83G Project Summary 

Hybrid Simulation for Large Scale MMC-MTDC Embedded Power Systems

Summary Modular multilevel converter (MMC) has become the most attractive converter topology for voltage-sourced converter high-voltage direct current (VSC-HVDC) transmission systems. The salient features of MMC include: 1) modularity and scalability to meet any voltage level by stacking up additional numbers of SMs without increasing topology complexity, 2) inherent redundancy and fault-tolerance capability to improve reliability, 3) high efficiency suitable for high-power applications, and 4) high power quality and low filter and transformer cost. MMC based multi-terminal high voltage dc (MTDC) system is a promising technology in grid integration of various renewable energy resources, interconnection of asynchronous ac grids, long-distance power transmission, and enhancement of ac networks. However, it is challenging to analyze and understand the dynamics of large-scale MMC-MTDC embedded hybrid ac and dc systems due to large amount of mixed power electronic switches, electromagnetics devices, and electromechanical components. Electromagnetic transient (EMT) simulation is not suitable for these mixed large-scale systems due to extremely low simulation speed. On the other hand, transient stability (TS) simulation is employed for studying the conventional ac systems and incapable of analyzing power electronics-based systems. In this project, a hybrid simulation strategy is proposed for modeling and simulating large-scale MMC-MTDC-based ac and dc systems. The PI will investigate and develop new hybrid simulation techniques for efficient simulation while keeping high accuracy. The developed simulation techniques will be implemented and tested on a newly developed platform in which EMT models are built on PSCAD\EMTDC and phasor TS models are realized on MATLAB\SIMULINK, along with the developed interface algorithms.
Academic Team Members Project Leader: Jiangchao Qin (ASU, jqin@asu.edu)            
Industry Team Members Di Shi (GEIRINA), Xi Chen (GEIRINA), Zhiwei Wang (GEIRINA)
Project Period  April 1, 2018 to March 31, 2019