Synchronous phasor anomaly detection method of real-time electricity price data in power market considering recording deviation

In the bilateral negotiated electricity market, the existence of abnormal data in the real-time node electricity prices poses a great threat to the stability and reliability of the power system. This paper introduces a synchronous phasor anomaly detection method considering the influence of recording deviation. This paper comprehensively analyzes the causes of abnormal real-time node electricity price data collected by PMU in the bilateral negotiated electricity market. A weighted time–frequency transform is proposed. The estimator achieves the accurate synchronous phasor measurement of real-time node electricity price data by creatively combining the frequency discretization and online signal frequency detection technology. It also successfully minimizes the interference of recording deviation on synchronous phasor measurement. Comparing the estimated value of the SCADA system with the measured value of the PMU is part of the anomaly detection process.The experimental results prove the effectiveness of this method. It achieves a high level of accuracy and minimum error when processing the real-time node electricity price data. This method can accurately identify various anomalies, such as those related to node voltage, phase angle and power. In addition, this method has high detection accuracy and greatly improves the reliability of power system anomaly detection. This method not only provides reliable data for transaction decisions and operational evaluations in the power market but also enhances the power system’s safety and stability through timely detection of potential issues.