Analysis and Management of Modern Distribution Systems Using State Estimation and Smart Meters.

• Grant number: 15/19045-0
• Support Opportunities: Regular Research Grants
• Start date: March 01, 2016
• End date: February 28, 2018
• Field of knowledge: Engineering - Electrical Engineering - Power Systems
• Principal Investigator: Madson Cortes de Almeida
• Grantee: Madson Cortes de Almeida
• Host Institution: Faculdade de Engenharia Elétrica e de Computação (FEEC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil

Abstract

Although the electrical energy industry exists for more than a century, in the recent years the electrical energy distribution segment has been marked by strong technological, economic and structural changes. Among the most striking technological advances in this industry, the intense use of renewable energy, as well as monitoring and communication systems can be highlighted. Thus, the energy meters that were originally applied only for billing the customer, will provide voltage and power measurements at sample rates of a few minutes, creating an appropriate environment for the development of methods aimed at optimal management of modern distribution systems. As a strong indication of this trend, the Brazilian government through its regulatory agency intends to have installed about 63 million of smart meters by the end of 2021, and some Brazilian utilities have already begun to install these devices little over a year. In this context, this research project aims to develop techniques for the analysis and the optimized management of modern distribution systems based on state estimation methodologies and measurements from smart meters. It will be developed specific techniques for state estimation in primary and secondary systems. In addition, these techniques will form the basis for the development of network management functions such as Volt-Var control, detection of commercial losses and network reconfiguration. (AU)

Scientific publications

(7)

(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)

UGARTE, LUIS F.; PUMA, FRANSK A.; DE ALMEIDA, MADSON C.; IEEE. Co-Simulation Architecture: A Tool to Enable the State Estimator Application in Smart Grid Environment. 2019 2ND INTERNATIONAL CONFERENCE ON SMART ENERGY SYSTEMS AND TECHNOLOGIES (SEST 2019), v. N/A, p. 6-pg., 2019-01-01. (15/19045-0)

FERNANDES, THIAGO R.; RICCIARDI, TIAGO R.; DA SILVA, RAFAEL S.; DE ALMEIDA, MADSON C.. Contributions to the sequence-decoupling compensation power flow method for distribution system analysis. IET GENERATION TRANSMISSION & DISTRIBUTION, v. 13, n. 5, p. 583-594, MAR 12 2019. (15/19045-0)

FERNANDES, THIAGO R.; FERNANDES, LEONARDO R.; UGARTE, LUIS F.; DA SILVA, RAFAEL S.; DE ALMEIDA, MADSON C.; IEEE. Statistical Criteria for Evaluation of Distribution System State Estimators. 2019 IEEE MILAN POWERTECH, v. N/A, p. 6-pg., 2019-01-01. (15/19045-0)

UGARTE, LUIS F.; LABURU, FELIPE M.; FERNANDES, THIAGO R.; DE ALMEIDA, MADSON C.; IEEE. Assessing the Branch Current Based State Estimator under Fault Conditions. PROCEEDINGS OF THE 2018 IEEE PES TRANSMISSION & DISTRIBUTION CONFERENCE AND EXHIBITION - LATIN AMERICA (T&D-LA), v. N/A, p. 5-pg., 2018-01-01. (15/19045-0)

DA SILVA, RAFAEL SCHINCARIOL; FERNANDES, THIAGO RAMOS; DE ALMEIDA, MADSON CORTES. Specifying angular reference for three-phase distribution system state estimators. IET GENERATION TRANSMISSION & DISTRIBUTION, v. 12, n. 7, p. 1655-1663, APR 10 2018. (15/19045-0)

FERNANDES, THIAGO R.; FERNANDES, LEONARDO R.; RICCIARDI, TIAGO R.; UGARTE, LUIS F.; DE ALMEIDA, MADSON C.; IEEE. Python Programming Language for Power System Analysis Education and Research. PROCEEDINGS OF THE 2018 IEEE PES TRANSMISSION & DISTRIBUTION CONFERENCE AND EXHIBITION - LATIN AMERICA (T&D-LA), v. N/A, p. 5-pg., 2018-01-01. (15/19045-0)

UGARTE, LUIS F.; SAU, RODRIGO G.; DE ALMEIDA, MADSON C.; TSUZUKI, MDG; JUNQUEIRA, F. ON THE PERFORMANCE OF STATE ESTIMATORS IN DISTRIBUTION SYSTEMS UNDER FAULT CONDITIONS. 2018 13TH IEEE INTERNATIONAL CONFERENCE ON INDUSTRY APPLICATIONS (INDUSCON), v. N/A, p. 7-pg., 2018-01-01. (15/19045-0)