TY - JOUR
T1 - Stability analysis and control optimisation based on particle swarm algorithm of modular multilevel matrix converter in fractional frequency transmission system
AU - Meng, Yongqing
AU - Li, Sijia
AU - Zou, Yichao
AU - Li, Kaikai
AU - Wang, Xiuli
AU - Wang, Xifan
N1 - Publisher Copyright:
© The Institution of Engineering and Technology 2020
PY - 2020/7/17
Y1 - 2020/7/17
N2 - Modular multilevel matrix converter (M3C) is a competitive option in the fractional frequency transmission system (FFTS) application. Focusing on stability and power quality issues, this study firstly proposes a new mathematical model and control strategy. Different from the previous research, this control scheme is based on the frequency decoupling model of double dq coordinate transformation and the control of the sub-converter, which implements the frequency decoupling control and solves the frequency leakage problem. Subsequently, a complete state-space model and small-signal model of M3C are built for analysing small disturbance stability. On this basis, the optimisation of M3C in FFTS is studied, and an optimisation method based on particle swarm algorithm is proposed. This method can directly design the adaptive objective function according to the optimisation requirements of system control performance to simultaneously optimise all controller parameters of the system. After optimisation, the stability and dynamic performance of the system have been significantly improved. Finally, the effectiveness of the proposed control and optimisation is verified by the simulation results in MATLAB/ Simulink.
AB - Modular multilevel matrix converter (M3C) is a competitive option in the fractional frequency transmission system (FFTS) application. Focusing on stability and power quality issues, this study firstly proposes a new mathematical model and control strategy. Different from the previous research, this control scheme is based on the frequency decoupling model of double dq coordinate transformation and the control of the sub-converter, which implements the frequency decoupling control and solves the frequency leakage problem. Subsequently, a complete state-space model and small-signal model of M3C are built for analysing small disturbance stability. On this basis, the optimisation of M3C in FFTS is studied, and an optimisation method based on particle swarm algorithm is proposed. This method can directly design the adaptive objective function according to the optimisation requirements of system control performance to simultaneously optimise all controller parameters of the system. After optimisation, the stability and dynamic performance of the system have been significantly improved. Finally, the effectiveness of the proposed control and optimisation is verified by the simulation results in MATLAB/ Simulink.
UR - https://www.scopus.com/pages/publications/85087715024
U2 - 10.1049/iet-gtd.2019.1620
DO - 10.1049/iet-gtd.2019.1620
M3 - 文章
AN - SCOPUS:85087715024
SN - 1751-8687
VL - 14
SP - 2641
EP - 2655
JO - IET Generation, Transmission and Distribution
JF - IET Generation, Transmission and Distribution
IS - 14
ER -