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Distribution systems state estimators: classical approaches and new algorithms for the Smart Grid

Grant number: 18/00214-4
Support type:Scholarships abroad - Research Internship - Doctorate
Effective date (Start): August 01, 2018
Effective date (End): July 31, 2019
Field of knowledge:Engineering - Electrical Engineering - Power Systems
Principal researcher:Joao Bosco Augusto London Junior
Grantee:Julio Augusto Druzina Massignan
Supervisor abroad: Vladimiro Henrique Barrosa Pinto de Miranda
Home Institution: Escola de Engenharia de São Carlos (EESC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
Research place: Instituto de Engenharia de Sistemas e Computadores - Tecnologia e Ciência (INESC TEC), Portugal  
Associated to the scholarship:16/19646-6 - Three-phase Multiarea state estimator for large scale distribution systems, BP.DR


Power Systems State Estimation have been the focus of several research since the end of the 1960 e it has been consolidated as a fundamental tool for real time modeling of electrical networks. However, recent development in this topic have been searching for a wider application of this process in Distribution Systems. In this context this project aims at improving the development of state estimators for distribution systems, trough the establishment of a partnership, between two research groups of excellency in this topic, by exchanging expertise, diagnosing problems e proposing solutions, focusing, mainly, in the following topics: state estimation based on the Information Theory and state estimation within the concept of multi-areas, focusing the application in distribution systems. (AU)

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Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
BESSANI, MICHEL; MASSIGNAN, JULIO A. D.; SANTOS, TALYSSON M. O.; LONDON JR, JOAO B. A.; MACIEL, CARLOS D.. Multiple households very short-term load forecasting using bayesian networks {*}. Electric Power Systems Research, v. 189, . (16/19646-6, 18/00214-4, 14/50851-0)
HEBLING, GUSTAVO M.; MASSIGNAN, JULIO A. D.; LONDON JUNIOR, JOAO B. A.; CAMILLO, MARCOS H. M.. Sparse and numerically stable implementation of a distribution system state estimation based on Multifrontal QR factorization. Electric Power Systems Research, v. 189, . (16/19646-6, 18/00214-4)
MASSIGNAN, JULIO A. D.; LONDON, JR., JOAO B. A.; BESSANI, MICHEL; MACIEL, CARLOS D.; FANNUCCHI, RODRIGO Z.; MIRANDA, VLADIMIRO. ayesian Inference Approach for Information Fusion in Distribution System State Estimatio. IEEE TRANSACTIONS ON SMART GRID, v. 13, n. 1, p. 526-540, . (18/19150-6, 18/00214-4, 14/50851-0)

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