电工技术学报2026，Vol.41Issue(2)：558-574,17.DOI:10.19595/j.cnki.1000-6753.tces.250003
MC-PMSG经LCC-HVDC送出系统次同步振荡特性分析与抑制策略
Analysis of Sub-Synchronous Oscillation Characteristics and Suppression Strategies of MC-PMSG Transmitted Through LCC-HVDC Systems
摘要
Abstract
Due to the reverse distribution of wind energy resources and load in China,the long-distance transmission of high power has become an inevitable requirement.The line-commutated converter-based high-voltage direct current(LCC-HVDC)has become one of the primary forms of long-distance transmission for new energy due to its large transmission capacity and low cost.The matching-control-based grid-forming permanent magnet synchronous generator(MC-PMSG)can enhance the voltage stability of the sending-end power grid in LCC-HVDC transmission systems for wind power in the desert and Gobiregions.However,MC-PMSG through LCC-HVDC transmission systems have the risk of sub-synchronous oscillation(SSO),and its oscillation characteristics and suppression strategies require further study. This paper investigates the SSO characteristics and suppression strategies in MC-PMSG using LCC-HVDC transmission systems.First,a small-signal model of the MC-PMSG through an LCC-HVDC transmission system is established using the modularization modeling technique,and the eigenvalues are utilized to investigate the participation of the MC-PMSG and LCC-HVDC in each SSO mode of the system.Then,the position of the supplementary subsynchronous damping controller(SSDC)is determined.According to the damping path method,the sub-synchronous interaction of the system is broken down into four independent paths,and the influence of SSDC on the SSO mode of the system is separated and quantified.Taking the maximum positive damping provided by SSDC as the optimization objective,particle swarm optimization(PSO)is employed to iteratively optimize SSDC parameters,which significantly enhances the total damping of the system and thereby realizes SSO suppression.Based on the PSCAD/EMTDC electromagnetic transient simulation platform,the theoretical analysis results are verified by changing the parameters of the MC-PMSG controller,DC capacitance,MC-PMSG capacity,and LCC-HVDC controller. According to the analysis results of SSO characteristics,the unstable oscillation mode of the system is dominated by DC capacitance voltage and GSC modulation phase θp.Therefore,SSDC is added to the GSC control link from the MC-PMSG DC capacitance to reduce the SSO risk of the system.The input signal of the SSDC is selected as the DC capacitance voltage,UDC,and the output signal is attached to the GSC modulation phase θp.According to the analysis results of the damping path method,the transmission process of disturbance between subsystems can be broken down into four independent loops.SSDC provides a new propagation path for sub-synchronous frequency disturbance,offering a certain amount of positive damping to the SSO mode.Negative damping from other damping paths can be compensated,thereby weakening the system's SSO. The main conclusions of this paper are as follows.(1)The system sent by MC-PMSG through LCC-HVDC has an SSO risk in some working conditions,and it is a low-damping SSO mode dominated by the DC capacitance of MC-PMSG.(2)SSDC introduces a new subsynchronous component path into the Heffron-Philips model of MC-PMSG DC capacitance,which is separated and quantified based on the damping path method.Taking the maximum positive damping provided by SSDC as the optimization target,iterative optimization is carried out through PSO,and the total damping of the system is greatly improved.(3)When the parameters of the MC-PMSG controller,LCC-HVDC controller,MC-PMSG capacity,and DC capacitance change,SSDC can significantlyimprove the total damping of the system.Thus,SSO can be suppressed.关键词
构网型控制/匹配控制/电网换相高压直流输电/阻尼路径/振荡抑制Key words
Grid-forming control/matching control/LCC-HVDC/damping path/oscillation suppression分类
信息技术与安全科学引用本文复制引用
甄永赞,巨孟沁,高本锋,卢文清,刘瑛琳..MC-PMSG经LCC-HVDC送出系统次同步振荡特性分析与抑制策略[J].电工技术学报,2026,41(2):558-574,17.基金项目
国网冀北电力有限公司科技项目(52018K240006). （52018K240006）
