| Texto completo | |
| Autor(es): |
Massignan, Julio A. D.
[1]
;
London, Jr., Joao B. A.
[1]
;
Bessani, Michel
[2]
;
Maciel, Carlos D.
[1]
;
Fannucchi, Rodrigo Z.
[3]
;
Miranda, Vladimiro
[4, 5]
Número total de Autores: 6
|
| Afiliação do(s) autor(es): | [1] Univ Sao Paulo, Dept Elect & Comp Engn, BR-13561010 Sao Carlos - Brazil
[2] Univ Fed Minas Gerais, Dept Elect Engn, BR-31270901 Belo Horizonte, MG - Brazil
[3] COPEL Distribuicao S, Dept Maintenance, BR-86050730 Londrina, Parana - Brazil
[4] Inst Engn Sistemas & Computadores Tecnol & Cienci, INESC TEC, P-4200465 Porto - Portugal
[5] Univ Porto, Fac Engn, P-4099002 Porto - Portugal
Número total de Afiliações: 5
|
| Tipo de documento: | Artigo Científico |
| Fonte: | IEEE TRANSACTIONS ON SMART GRID; v. 13, n. 1, p. 526-540, JAN 2022. |
| Citações Web of Science: | 0 |
| Resumo | |
This paper presents a three-phase Distribution System State Estimator (DSSE) based on a Bayesian inference approach to manage different sampling rates of typical sources of information present in distribution networks. Such information comes from smart meters, supervisory control and data acquisition (SCADA) measurements, phasor measurement units and typical load profiles from pseudo measurements. The temporal aspect of the measurement set is incorporated in the estimation process by using a sampling layer concept, dealing separately with each group of measurements according to the respective updating rate. A Bayesian information fusion procedure provides the final estimation. The proposed DSSE consists in a multiple stage estimator that combines a prior model for the state variables, updated by new observations from measured values in each sampling layer, through Maximum a Posteriori estimation. This work also introduces an orthogonal method for the information fusion numerical solution, to tackle the severe ill-conditioning associated with practical distribution systems. Simulations with IEEE distribution test feeders and a Brazilian real distribution feeder illustrate the features of the proposed DSSE and its applicability. By exploring the concept of credibility intervals, the method is able to detect events on the grid, such as subtle load variation and contingencies, while maintaining accuracy. (AU) | |
| Processo FAPESP: | 18/19150-6 - Resiliência de sistemas complexos com o uso de redes bayesianas dinâmicas: uma abordagem probabilística |
| Beneficiário: | Carlos Dias Maciel |
| Modalidade de apoio: | Bolsas no Exterior - Pesquisa |
| 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: | 14/50851-0 - INCT 2014: Instituto Nacional de Ciência e Tecnologia para Sistemas Autônomos Cooperativos Aplicados em Segurança e Meio Ambiente |
| Beneficiário: | Marco Henrique Terra |
| Modalidade de apoio: | Auxílio à Pesquisa - Temático |