PMUs and SCADA Measurements in Power System State Estimation through Bayesian Inference

Author(s)

Massignan, Julio A. D. ; London, Joao B. A., Jr. ; Maciel, Carlos D. ; Bessani, Michel ; Miranda, Vladimiro ; IEEE

• Document type: Journal article
• Source: 2019 IEEE MILAN POWERTECH; v. N/A, p. 6-pg., 2019-01-01.

Abstract

Phasor Measurement Units (PMUs) in transmission systems is one of the most promising sources of data to increase situational awareness of network monitoring. However, the inclusion of PMU measurements along with the ones from traditional Supervisory Control and Data Acquisition (SCADA) systems to perform state estimation brings additional challenges, such as the vast difference in sampling rates and precision between these two types of measurements. This paper formally introduces a Bayesian inference approach in the form of a new State Estimator for transmission systems able to deal with the different sampling rates of those measurements. The proposed approach provides accurate state estimates even for buses that are not observable by PMU measurements, and when load variation occurs during the time interval between two SCADA data scans. Several simulation results (with IEEE transmission test systems) are used to illustrate the features of the proposed approach. (AU)

• FAPESP's process: 18/00214-4 - Distribution systems state estimators: classical approaches and new algorithms for the Smart Grid
• Grantee: Julio Augusto Druzina Massignan
• Support Opportunities: Scholarships abroad - Research Internship - Doctorate
• FAPESP's process: 16/19646-6 - Three-phase Multiarea state estimator for large scale distribution systems
• Grantee: Julio Augusto Druzina Massignan
• Support Opportunities: Scholarships in Brazil - Doctorate
• FAPESP's process: 17/22297-6 - Evolution of the State Estimation process to address the new paradigms of the operation of electrical networks
• Grantee: Joao Bosco Augusto London Junior
• Support Opportunities: Scholarships abroad - Research