| 引用本文: | 陈亦平,陈伟彪,姚伟,廖诗武,文劲宇,侯云鹤,苗世洪.WAMS错误数据的快速辨识及恢复方法[J].电力自动化设备,2016,36(12): |
| CHEN Yiping,CHEN Weibiao,YAO Wei,LIAO Shiwu,WEN Jinyu,HOU Yunhe,MIAO Shihong.Rapid identification and recovery of wrong WAMS data[J].Electric Power Automation Equipment,2016,36(12): |
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| 摘要: |
| 统计分析基于相量测量单元(PMU)的电力系统广域测量系统(WAMS)在实际应用中出现的监测数据的错误类型，提出基于模式识别的WAMS错误数据快速辨识及恢复方法。该方法通过对同一PMU上传的监测数据进行特征量提取，并与预先设置的时序相对变化量变化趋势矩阵和时序数值矩阵进行模式匹配，实现错误数据的实时辨识，并使用错误出现最近时刻的正常数据进行数据快速恢复。所提方法在实测的监测数据中的应用验证了其可行性。 |
| 关键词: 电力系统 广域测量系统 相量测量单元 错误数据辨识 数据恢复 |
| DOI：10.16081/j.issn.1006-6047.2016.12.015 |
| 分类号: |
| 基金项目:国家自然科学基金资助项目(51577075) |
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| Rapid identification and recovery of wrong WAMS data |
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CHEN Yiping1, CHEN Weibiao2, YAO Wei2, LIAO Shiwu2, WEN Jinyu2, HOU Yunhe2, MIAO Shihong2
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1.CSG Power Dispatching & Communication Centre, Guangzhou 510623, China;2.Huazhong University of Science and Technology, Wuhan 430074, China
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| Abstract: |
| The types of wrong monitoring data existed in the WAMS(Wide Area Measurement System) based on PMU(Phasor Measurement Unit) are statistically analyzed and a method based on pattern recognition is proposed for the rapid identification and recovery of wrong data, which extracts the features from the data monitored by a PMU, carries out the pattern matching according to the pre-set time-series relative variation matrix and time-series measurement matrix to identify the wrong data in real time, and takes the corresponding recent correct data to rapidly recover them. The proposed method is applied to the actual monitoring data for verifying its feasibility. |
| Key words: electric power systems WAMS PMU wrong data identification data recovery |
