Sensitivity Analysis of Real-Time Locational Marginal Price to SCADA Sensor Data Corruption

• Published in: IEEE transactions on power systems Vol. 29; no. 3; pp. 1110 - 1120
• Main Authors: Choi, Dae-Hyun, Xie, Le
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.05.2014; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Buses; Corruption; Economic dispatch; Electric power generation; Electric utilities; Electricity distribution; Generators; locational marginal price (LMP); Mathematical model; Operators; power market; Real time; Real-time systems; SCADA; Sensitivity; Sensitivity analysis; Sensors; State estimation; Supervisory control and data acquisition; supervisory control and data acquisition (SCADA); Transmission line measurements; Vectors
• ISSN: 0885-8950; 1558-0679
• DOI: 10.1109/TPWRS.2013.2293634

This paper examines the impact of supervisory control and data acquisition (SCADA) data corruption on real-time locational marginal price (LMP) in electricity markets. We present an analytical framework to quantify LMP sensitivity with respect to changes in sensor data. This framework consists of a unified LMP sensitivity matrix subject to sensor data corruption. This sensitivity matrix reflects a coupling among the sensor data, an estimation of the power system states, and the real-time LMP. The proposed framework offers system operators an online tool to: 1) quantify the impact of corrupted data at any sensor on LMP variations at any bus; 2) identify buses with LMPs highly sensitive to data corruption; and 3) find sensors that impact LMP changes significantly and influentially. It also allows system operators to evaluate the impact of SCADA data accuracy on real-time LMP. The results of the proposed sensitivity based analysis are illustrated and verified with IEEE 14-bus and 118-bus systems with both Ex-ante and Ex-post real-time pricing models.