首页|Damping Characteristic Analysis and Optimization of Wind-thermal-bundled Power Transmission by LCC-HVDC Systems

Damping Characteristic Analysis and Optimization of Wind-thermal-bundled Power Transmission by LCC-HVDC Systems

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With the rapid development of renewable energy,wind-thermal-bundled power transmission by line-commutated converter based high-voltage direct current(LCC-HVDC)sys-tems has been widely developed.The dynamic interaction mech-anisms among permanent magnet synchronous generators(PMSGs),synchronous generators(SGs),and LCC-HVDC sys-tem become complex.To deal with this issue,a path analysis method(PAM)is proposed to study the dynamic interaction mechanism,and the damping reconstruction is used to analyze the damping characteristic of the system.First,based on the modular modeling,linearized models for the PMSG subsystem,the LCC-HVDC subsystem,and the SG subsystem are estab-lished.Second,based on the closed-loop transfer function dia-gram of the system,the disturbance transfer path and coupling relationship among subsystems are analyzed by the PAM,and the damping characteristic analysis of the SG-dominated oscilla-tion mode is studied based on the damping reconstruction.Compared with the PAM,the small-signal model of the system is obtained and eigenvalue analysis results are presented.Then,the effect of the control parameters on the damping characteris-tic is analyzed and the conclusions are verified by time-domain simulations.Finally,the penalty functions of the oscillation modes and decay modes are taken as the objective function,and an optimization strategy based on the Monte Carlo method is proposed to solve the parameter optimization problem.Nu-merical simulation results are presented to validate the effective-ness of the proposed strategy.

Wind-thermal-bundled power transmissionline-commutated converter based high-voltage direct current(LCC-HVDC)path analysis method(PAM)damping character-istic analysisMonte Carlo method

Liwen Zheng、Shiying Ma

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Power System De-partment,China Electric Power Research Institute,Beijing 100192,China

National Natural Science Foundation of China

U22B20109

2024

现代电力系统与清洁能源学报(英文版)

现代电力系统与清洁能源学报(英文版)

ISSN:
年,卷(期):2024.12(1)
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