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

Autor(es)

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

• Tipo de documento: Artigo Científico
• Fonte: 2019 IEEE MILAN POWERTECH; v. N/A, p. 6-pg., 2019-01-01.

Resumo

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)

• Processo FAPESP: 18/00214-4 - Estimadores de estado para sistemas de distribuição: abordagens clássicas e novos algoritmos para o Smart Grid
• Beneficiário: Julio Augusto Druzina Massignan
• Modalidade de apoio: Bolsas no Exterior - Estágio de Pesquisa - Doutorado
• Processo FAPESP: 16/19646-6 - Estimador de estado trifásico multiárea para sistemas de distribuição de larga escala
• Beneficiário: Julio Augusto Druzina Massignan
• Modalidade de apoio: Bolsas no Brasil - Doutorado
• Processo FAPESP: 17/22297-6 - Evolução do processo de Estimação de Estado frente aos novos paradigmas da operação de redes elétricas
• Beneficiário: Joao Bosco Augusto London Junior
• Modalidade de apoio: Bolsas no Exterior - Pesquisa