Sparse and numerically stable implementation of a distribution system state estimation based on Multifrontal QR factorization

Autor(es)

Hebling, Gustavo M. ^[1] ; Massignan, Julio A. D. ^[1] ; London Junior, Joao B. A. ^[1] ; Camillo, Marcos H. M. ^[1]

Afiliação do(s) autor(es)

^[1] Univ Sao Paulo, Sao Carlos, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: Electric Power Systems Research; v. 189, DEC 2020.
• Citações Web of Science: 0

Resumo

Enhancing situational awareness of distribution networks is a requirement of Smart Grids. In order to fulfill this requirement, specialized algorithms have been developed to perform Distribution System State Estimation (DSSE). Due to the particularities of such networks, those algorithms often rely on simplifications and approximations of the measurement model which make difficult to generalize their results. This paper presents a sparse and numerically stable implementation of an algorithm for DSSE, which does not require any additional assumption from the traditional state estimation formulation. The numerical stability is guaranteed by using Multifrontal QR factorization and an optimal ordering technique is evaluated to reduce fill-in. Simulation results are carried out with IEEE three-phase unbalanced test feeders to evaluate the algorithm. (AU)

• 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: 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