| 引用本文: | 屈子程,高亮,康保林,史光宇.基于多源数据的电力系统故障全信息诊断模型[J].电力系统保护与控制,2019,47(22):59-66.[点击复制] |
| QU Zicheng,GAO Liang,KANG Baolin,SHI Guangyu.A power system fault full information diagnosis model based on multi-source data[J].Power System Protection and Control,2019,47(22):59-66[点击复制] |
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| 摘要: |
| 随着电力系统信息技术的广泛应用，利用多源数据进行故障诊断成为可能。目前，基于多源数据进行故障诊断仅将故障数据划分为开关量和电气量，没有考虑不同数据之间存在的差异。针对这个问题将故障数据细分为3种类型，根据3类数据的特征提出一种基于多源数据的电力系统故障全信息模型，包括利用实时性较强数据实现快速故障诊断的模块和利用全信息数据进行综合故障处理的模块。通过PSCAD和Matlab进行联合仿真，验证模型的可行性。 |
| 关键词: 故障诊断 多源数据 信息熵 小波分析 故障全信息 |
| DOI：10.19783/j.cnki.pspc.181579 |
| 投稿时间：2018-12-20修订日期：2019-02-21 |
| 基金项目:国家自然科学基金项目资助(51777119) |
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| A power system fault full information diagnosis model based on multi-source data |
| QU Zicheng,GAO Liang,KANG Baolin,SHI Guangyu |
| (School of Electric Power Engineering, Shanghai University of Electric Power, Shanghai 200082, China) |
| Abstract: |
| It becomes possible to use multi-source data to diagnosis faults with the development of information technology in power system. At present, fault data are divided into two kinds:the switching data and electric data in fault diagnostic system based on multi-source data which leave the difference among these data out of consideration. To solve this problem, this paper divides fault data into 3 kinds and proposes a power system fault full information diagnosis model based on multi-source data according to the characteristics of these data. The model includes two modules. The first is to use real-time data to achieve rapid fault diagnosis, and then use the data containing more comprehensive information to conduct comprehensive fault information processing. PSCAD and Matlab are used for joint simulation to verify the feasibility of the model. This work is supported by National Natural Science Foundation of China (No. 51777119). |
| Key words: fault diagnosis multi-source data information entropy wavelet analysis full fault information |
