摘要
换流变体系是特高压换流站内的重要设备体系,一旦受损将会导致换流站电气功能严重损失,并且需要大量时间进行修复,有必要从抗震韧性的角度对其进行综合评估。因此提出一种特高压换流站换流变体系抗震韧性评估方法,给出与换流变体系状态相关的换流站功能状态函数,并定义了抗震韧性指标及经济性指标。结合换流变压器易损性曲线,提出了基于蒙特卡洛模拟的指标计算方法。以典型±800kV换流站内的换流变体系为例,考虑了增设备品、隔震改造等不同抗震提升措施,从而对换流变体系进行抗震韧性评估。结果表明:该评估方法能够对换流变体系的抗震韧性和经济性进行量化分析,可用于既有换流变体系抗震韧性评估及抗震提升措施的优化分析。
Converter transformer system is an important equipment system in UHV converter station. Once damaged, it will cause serious loss of the electrical function and requires a lot of time to repair. Therefore, it is necessary to comprehensively evaluate the converter transformer system from the perspective of seismic resilience. A seismic resilience evaluation method of converter transformer isolation system is proposed in this paper. The state function of converter station related to the state of converter transformer system is established, and seismic resilience indicator and economic indicator are defined. Combined with the vulnerability curves of converter transformer, the calculation method of the indicators is proposed based on Monte-Carlo simulation. The converter transformer system in a typical ±800 kV converter station is taken as the research object, and different measures to improve its seismic performance such as adding spares or using isolation are considered to evaluate the seismic resilience of the system. The results show that this method can be adopted to quantitatively analyze the seismic resilience and economy of converter transformer system, and it is suitable for the evaluation of the seismic resilience of converter transformer and the optimization of improvement measures.
作者
谢强
孙新豪
李晓璇
XIE Qiang;SUN Xinhao;LI Xiaoxuan(College of Civil Engineering,Tongji University,Shanghai 200092,China;Key Laboratory of Performance Evolution and Control for Engineering Structures,Ministry of Education,Shanghai 200092,China)
出处
《高电压技术》
EI
CAS
CSCD
北大核心
2022年第9期3582-3592,共11页
High Voltage Engineering
基金
国家自然科学基金(51878508)。
关键词
特高压换流站
换流变压器
抗震韧性
地震易损性
经济性
UHV converter station
converter transformer
seismic resilience
seismic vulnerability
economical efficiency
