摘要
相较于传统电力系统,新能源高占比电力系统的安全稳定特性、系统级连锁故障诱因及形态有较大的差异。在分析新能源高占比电力系统主要特征的基础上,提炼了新能源高占比电力系统连锁故障的4类主要诱因,并给出了相关案例;为了获得实际新能源高占比电力系统连锁故障的风险认知及可能的连锁路径,提出了3个连锁故障事故链搜索的关键技术,即计及动态稳定特性的新能源场站等值建模方法、大扰动下电力电子接口设备脱网概率的评估方法、基于时域仿真的连锁故障事故链搜索技术,同时给出了相关解决思路的建议,以期为新能源高占比电力系统连锁故障的风险分析及防御提供一定的参考价值。
Compared with the traditional power system,the security and stability characteristics,inducements and forms of system-level cascading failure of power system with high penetration of renewable energy are quite different.Based on the main characteristic analysis of power system with high penetration of renewable energy,four types of cascading failure’s main inducements of power system with high penetration of renewable energy are extracted,and relevant cases are given.In order to obtain the risk cognition and possible chain paths of cascading failure in the actual power system with high penetration of renewable energy,three key technologies of cascading failure’s fault chain search are proposed,namely,the equivalent modeling method of new energy station considering dynamic stability characteristics,the evaluation method of off-grid probability of power electronic interface equipment under large disturbance and the cascading failure’s fault chain search technology based on time domain simulation.At the same time,the relevant solutions are proposed in order to provide some reference values for risk analysis and prevention of cascading failure in the power system with high penetration of renewable energy.
作者
崔晓丹
吴家龙
雷鸣
张金锋
许剑冰
李威
方勇杰
CUI Xiaodan;WU Jialong;LEI Ming;ZHANG Jinfeng;XU Jianbing;LI Wei;FANG Yongjie(NARI Group Corporation(State Grid Electric Power Research Institute),Nanjing 211106,China;State Key Laboratory of Smart Grid Protection and Control,Nanjing 211106,China)
出处
《电力自动化设备》
EI
CSCD
北大核心
2021年第7期135-143,共9页
Electric Power Automation Equipment
基金
国家电网有限公司科技项目(4000-201940418A-0-0-00)。
关键词
新能源高占比电力系统
连锁故障
概率评估
事故链搜索
动态稳定
power system with high penetration of renewable energy
cascading failure
probability assessment
fault chain search
dynamic stability
