基于模块化思想的LCC-HVDC改进小信号建模及交互稳定性分析OA北大核心CSTPCD
Improved small signal modeling and interaction stability analysis of LCC-HVDC based on modularization
随着电网换相型高压直流输电(line commutated converter based high voltage direct current,LCC-HVDC)技术的广泛应用,交直流混联电力系统的交互稳定性问题日益突出.首先基于状态空间平均法建立了考虑非线性换相重叠动态过程的 LCC 换流器传递函数模型.为适应愈加复杂的直流输电系统建模,提出利用模块化思想分别建立LCC-HVDC各子系统小信号模型,并推导了能反映交直流系统和换流器之间电气耦合特性的接口矩阵实现子系统连接,从而模块化建立精确且易于扩展的计及控制链路延时和锁相环输出相位波动的双端 LCC-HVDC 系统改进小信号模型.最后分析了控制系统参数和控制链路延时对系统小干扰稳定性的影响以及失稳模态的主导因素,揭示了双端 LCC-HVDC 系统交直流混合谐振机理及送受端交互影响具体过程.研究结果可以为系统参数设计、谐振抑制措施提供理论基础.
With the widespread application of line commutated converter based high voltage direct current(LCC-HVDC)technology,the interactive stability problem of AC-DC hybrid power systems is becoming increasingly prominent.This paper first establishes the transfer function model of an LCC converter considering the nonlinear commutation overlapping dynamic process based on the state-space averaging method.To accommodate more complex DC transmission system modeling,it is proposed to establish small-signal models of LCC-HVDC subsystems using a modularization idea,and the interface matrix reflecting the electrical coupling characteristics between AC/DC system and converter is derived to realize subsystem connection,thereby modularly establishing accurate and easily expandable small-signal models of double-ended LCC-HVDC system.These consider the control time delay and phase fluctuation of phase-locked loop output.Finally,the influence of control system parameters and control time delay on the small disturbance stability of the system and the dominant factors of the instability modes are analyzed.The mechanism of AC-DC hybrid resonance of double-ended LCC-HVDC system and the interaction between sender and receiver are revealed.The research results can provide a theoretical basis for the design of system parameters and resonance suppression measures.
王顺亮;刘海军;谢洋;马俊鹏;李永琪;焦宁;刘天琪
四川大学电气工程学院,四川 成都 610065
LCC-HVDC状态空间模型模块化控制链路延时谐振影响因素
LCC-HVDCstate space modelmodularitycontrol time delayresonance influence factor
《电力系统保护与控制》 2024 (010)
84-94 / 11
This work is supported by the National Natural Science Foundation of China(No.51977135). 国家自然科学基金项目资助(51977135)
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