基于典型故障与环境场景关联识别的城市配电网运行风险预警方法

发布时间：2018-01-11 19:03

本文关键词：基于典型故障与环境场景关联识别的城市配电网运行风险预警方法　出处：《电网技术》2017年08期 　论文类型：期刊论文

【摘要】：随着城市电网逐步迈入高供电可靠性水平,配电网运行风险评估和预警成为进一步提升可靠性水平的关键。配电网故障具有随机性强、因果性弱的特征,常规方法难以寻找其规律。论文引入数据挖掘思想,基于对故障各类型数据的分析,提出了故障环境场景的概念,并对运行风险指标进行了定义,然后分析了Apriori算法在配电网运行风险评估中的适用性,并提出了若干改进措施,在此基础上建立了基于典型故障与环境场景关联识别的配电网运行风险预警算法。算例分析验证了所提方法的可行性。
[Abstract]:With the city power grid gradually entered the high reliability level of distribution network operation risk assessment and early warning has become the key of further raising the level of reliability. The failure of distribution network with strong randomness, weak causal features, conventional methods are difficult to find the rules. This paper introduces data mining theory, analysis of various types of fault based on the data presented the concept of fault environment scene, and the operation risk index is defined, and then analyzes the applicability of Apriori algorithm in operational risk assessment in the distribution network, and puts forward some improvement measures on the basis of established distribution network operation risk early warning algorithm for fault and scene recognition based on relevance. Examples to verify the feasibility of the proposed method.

【作者单位】：电力系统及发电设备控制和仿真国家重点实验室(清华大学电机系);上海市电力公司;
【基金】：国家电网公司科技项目(SGSHPD00ZSJS1406054)~~
【分类号】：TM732
【正文快照】： 算例分析验证了所提方法的可行性。0引言随着城市配电网的快速发展,中国城市电网逐步进入了高可靠性阶段。2015年,全国有16座城市达到了99.99%的高供电可靠性水平[1],最高水平达到99.995%。得益于综合停电管理、带电作业等措施的推广,影响城市配电网可靠性的关键因素正从计划

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