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针对隐性故障的新型电力系统连锁故障模型

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鉴于目前对电力系统连锁故障的研究大多是基于传统电力系统,且忽略了导致连锁故障重要因素之一的隐性故障.基于此,针对电网隐性故障,利用随机潮流(stochastic load flow,SLF)和元胞自动机算法(cellular automata,CA)结合构建一种针对隐性故障的新型电力系统连锁故障模型.首先,利用SLF引入风电和光伏机组,构造新型电力系统,同时计算出系统内各个线路的有功初始潮流.然后,使用CA算法简化系统的拓扑结构,结合潮流越限隐性故障概率模型判断元胞状态,以元胞及其邻居的状态进行故障传递从而模拟连锁故障.最后,以改进的IEEE39节点系统为算例验证了模型的有效性.该模型能为新型电力系统连锁故障模型以及隐性故障的研究提供新的参考.
A New Cascading Failure Model of Power System for Hidden Faults
In view of the fact that most of the current research on power system chain failure is based on traditional power system,and the hidden fault,one of the important factors leading to chain failure,is ignored.Based on this,a novel cascading fault model of power system was constructed based on stochastic load flow(SLF)and cellular automata(CA)algorithms for hidden faults.Firstly,SLF was used to introduce wind power and photovoltaic units to construct a new power system,and the active initial power flow of each line in the system was calculated.Then,the CA algorithm was used to simplify the topology of the system,and the cell state was judged by the hidden fault probability model of power flow over limit,and the state of the cell and its neighbor was used for fault transmission to simulate the chain fault.Finally,the improved IEEE39-node system was taken as an example to verify the effectiveness of the model.This model can provide a new reference for the study of new cascading fault model and hidden fault of power system.

new power systemchain failurehidden faultrandom power flowcellular automata

孙玉峰、崔双喜、郑子杰

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新疆大学电气工程学院,乌鲁木齐 830047

新型电力系统 连锁故障 隐性故障 随机潮流 元胞自动机

国家自然科学基金新疆维吾尔自治区自然科学基金

520670202020D01C068

2024

科学技术与工程
中国技术经济学会

科学技术与工程

CSTPCD北大核心
影响因子:0.338
ISSN:1671-1815
年,卷(期):2024.24(12)
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