Weather-based risk analysis for power system operation

• Grant number: 15/17757-2
• Support Opportunities: Scholarships abroad - Research Internship - Post-doctor
• Start date: January 03, 2016
• End date: January 02, 2017
• Field of knowledge: Engineering - Electrical Engineering - Power Systems
• Principal Investigator: José Roberto Sanches Mantovani
• Grantee: Jonatas Boas Leite
• Supervisor: Mladen Kezunovic
• Host Institution: Faculdade de Engenharia (FEIS). Universidade Estadual Paulista (UNESP). Campus de Ilha Solteira. Ilha Solteira , SP, Brazil
• Institution abroad: Texas A&M University, United States
• Associated to the scholarship: 14/22377-1 - Development Proposal of the Self-Healing Technique on Smart Grid using a Multi-Agent System, BP.PD

Abstract

The increase of the energy market competition, natural growth of energy demand and influence of weather conditions in electricity consumption have dramatically affected the energy quality indices and enlarged the complexity of decision-making processes that require innovative tools to help operators understand the risk and act accordingly. Therefore, this work proposes correlate the available weather data with power system operations by developing tools for EMS applications that can aid the decision-making process at the control room. The established objectives should be achieved using the risk analysis approach that is a key to pro-active risk management and effective ranking of risk reduction measures. The obtained result should be analyzed using graphs, as a way of understanding the obtained information, and numbers, which allow quantitative decisions. (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)

LEITE, JONATAS BOAS; SANCHES MANTOVANI, JOSE ROBERTO. Development of a Self-Healing Strategy With Multiagent Systems for Distribution Networks. IEEE TRANSACTIONS ON SMART GRID, v. 8, n. 5, p. 2198-2206, SEP 2017. (14/22377-1, 15/17757-2, 13/23590-8)

LEITE, JONATAS BOAS; SANCHES MANTOVANI, JOSE ROBERTO; DOKIC, TATJANA; YAN, QIN; CHEN, PO-CHEN; KEZUNOVIC, MLADEN. Resiliency Assessment in Distribution Networks Using GIS-Based Predictive Risk Analytics. IEEE Transactions on Power Systems, v. 34, n. 6, p. 4249-4257, NOV 2019. (15/17757-2)

LEITE, JONATAS BOAS; SANCHES MANTOVANI, JOSE ROBERTO; KEZUNOVIC, MLADEN; IEEE. Distribution System Self-Healing Implementation using Decentralized IED-based Multi-Agent System. 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. (14/22377-1, 15/17757-2)

VARGAS PERALTA, RENZO AMILCAR; LEITE, JONATAS BOAS; SANCHES MANTOVANI, JOSE ROBERTO. Automatic restoration of large-scale distribution networks with distributed generators, voltage control devices and heating loads. Electric Power Systems Research, v. 176, n. 1, NOV 2019. (15/17757-2)

VARGAS PERALTA, RENZO AMILCAR; LEITE, JONATAS BOAS; SANCHES MANTOVANI, JOSE ROBERTO. Automatic restoration of large-scale distribution networks with distributed generators, voltage control devices and heating loads. Electric Power Systems Research, v. 176, p. 11-pg., 2019-11-01. (15/17757-2)

LEITE, JONATAS BOAS; SANCHES MANTOVANI, JOSE ROBERTO; DOKIC, TATJANA; YAN, QIN; CHEN, PO-CHEN; KEZUNOVIC, MLADEN; IEEE. Failure Probability Metric by Machine Learning for Online Risk Assessment in Distribution Networks. 2017 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE - LATIN AMERICA (ISGT LATIN AMERICA), v. N/A, p. 6-pg., 2017-01-01. (15/21972-6, 15/17757-2)

LEITE, JONATAS BOAS; SANCHES MANTOVANI, JOSE ROBERTO; DOKIC, TATJANA; YAN, QIN; CHEN, PO-CHEN; KEZUNOVIC, MLADEN; IEEE. The Impact of Time Series-based Interruption Cost on Online Risk Assessment in Distribution Networks. 2016 IEEE PES TRANSMISSION & DISTRIBUTION CONFERENCE AND EXPOSITION-LATIN AMERICA (PES T&D-LA), v. N/A, p. 6-pg., 2016-01-01. (15/17757-2)