摘要
建立一种能够模拟在各元件潮流极限相对固定不变的时间段内电力系统事故演化的自组织模型,以IEEE 39节点系统为例对系统在不同负载率下的故障情况进行仿真,分析了负载率分布对自组织临界性的影响。仿真结果提醒调度人员,应在其日常的电网调度中既关注整个电网的系统负载率,又关注各元件的负载率在双对数坐标图中分布曲线的斜率值。在系统负载率相同的情况下,分布曲线斜率的绝对值越大,电力系统发生大规模连锁故障的概率就越高。
A self-organized criticality model is given to simulate power system blackout process when the power flow limits of all system components are relatively fixed.It is used to investigate the faults of the IEEE 39-bus power system with different load rates.The influences of the distribution of load rates on power system self-organized criticality are analyzed.The results indicate that the dispatchers should pay attention to both the degree of overall system load rate and the slope for each component load rate in double logarithmic plot at the same time.Under the same system load rate,larger absolute value of the slope of distribution curve indicates higher probability that a large-scale cascading failure may happen in the power system.
出处
《电力系统自动化》
EI
CSCD
北大核心
2012年第1期24-27,37,共5页
Automation of Electric Power Systems
基金
国家电网公司科技项目"基于复杂系统理论的大电网安全稳定性研究"
国家安全生产监督管理总局安全生产重大事故防治关键技术重点科技项目(10-052)~~
关键词
自组织临界性
负载率
停电事故
电力系统
self-organized criticality
load rate
blackouts
power systems