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

• Grant number: 18/00214-4
• Support Opportunities: Scholarships abroad - Research Internship - Doctorate
• Start date: August 01, 2018
• End date: July 31, 2019
• Field of knowledge: Engineering - Electrical Engineering - Power Systems
• Principal Investigator: Joao Bosco Augusto London Junior
• Grantee: Julio Augusto Druzina Massignan
• Supervisor: Vladimiro Henrique Barrosa Pinto de Miranda
• Host Institution: Escola de Engenharia de São Carlos (EESC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
• Institution abroad: 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

Abstract

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)

Scientific publications

(6)

(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, DEC 2020. (16/19646-6, 18/00214-4, 14/50851-0)

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, JAN 2022. (18/19150-6, 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, DEC 2020. (16/19646-6, 18/00214-4)

MASSIGNAN, JULIO A. D.; LONDON, JOAO B. A., JR.; MACIEL, CARLOS D.; BESSANI, MICHEL; MIRANDA, VLADIMIRO; IEEE. PMUs and SCADA Measurements in Power System State Estimation through Bayesian Inference. 2019 IEEE MILAN POWERTECH, v. N/A, p. 6-pg., 2019-01-01. (18/00214-4, 16/19646-6, 17/22297-6)

GONZAGA JUNIOR, ROSVANDO M.; MASSIGNAN, JULIO A. D.; MACIEL, CARLOS D.; LONDON, JOAO BOSCO A., JR.; DE ALMEIDA, RODRIGO M. A.; CAMILLO, MARCOS H. M.; IEEE. An Embedded State Estimator for Reducing Data Volume and Processing in Smart Grids Monitoring. 2018 WORKSHOP ON COMMUNICATION NETWORKS AND POWER SYSTEMS (WCNPS), v. N/A, p. 5-pg., 2018-01-01. (17/22297-6, 16/19646-6, 18/00214-4)

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, p. 7-pg., 2020-12-01. (16/19646-6, 14/50851-0, 18/00214-4)