微型电脑应用2025，Vol.41Issue(2)：182-185,190,5.
基于状态估计的电力调度流数据异常识别方法研究
Research on Anomaly Identification Method of Power Dispatching Flow Data Based on State Estimation
赵莹 1路学刚 1曹文刚 2何文洪2
作者信息
- 1. 云南电网有限责任公司,云南,昆明 650011
- 2. 云南云电同方科技有限公司,云南,昆明 650011
- 折叠
摘要
Abstract
Aimed at the problem of low accuracy of data anomaly identification in existing power dispatching flow data,an anomaly identification method of power dispatching flow data based on state estimation is proposed.According to the changes of voltage and current phasor at each node of power system in the process of power dispatching,a hybrid measurement algo-rithm is introduced to design the power dispatching flow data state estimation algorithm to estimate the power dispatching flow data state.Using the linear relationship of power dispatching flow data and copula theory,the abnormal score of power dispatc-hing flow data is defined,the conditional probability cumulative distribution function and sample linear range of power dispatc-hing flow data are obtained,the abnormal score of power dispatching flow data is obtained,and the abnormal identification of power dispatching flow data is realized.By setting the example power grid and parameters,the experimental analysis is de-signed.Results show that the design method proposed identifies the abnormal data of power dispatching flow,the number of error identification is 0,which is not affected by the number of nodes in the method sample layer,and has high identification ac-curacy.关键词
状态估计/电力调度/调度流数据/数据异常/异常识别Key words
state estimation/power dispatching/dispatching flow data/data anomaly/anomaly identification分类
信息技术与安全科学引用本文复制引用
赵莹,路学刚,曹文刚,何文洪..基于状态估计的电力调度流数据异常识别方法研究[J].微型电脑应用,2025,41(2):182-185,190,5.
