Intelligent and hybrid techniques for the resolution of power systems problems

• Grant number: 14/27342-1
• Support type: Regular Research Grants
• Duration: September 01, 2015 - August 31, 2017
• Field of knowledge: Engineering - Electrical Engineering - Power Systems
• Principal Investigator: Eduardo Nobuhiro Asada
• Grantee: Eduardo Nobuhiro Asada
• Home Institution: Escola de Engenharia de São Carlos (EESC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
• Assoc. researchers: Aldir Silva Sousa

Abstract

This document presents the 2 years term research project to be carried out at the Department of Electrical and Computer Engineering of the São Carlos School of Engineering - University of São Paulo. The theme of this project aims for the application of methods and intelligent techniques for complex and large scale power systems optimization problems. The research encompasses the electrical power transmission and distribution areas.In power system distribution, the communication and autonomous control units that can embed the multi-agent systems in an environment defined as intelligent distribution networks is taken into account. In power transmission area, the main topics consider the expansion of the system, modeling and optimal operation. Generally, the earlier problems are modeled as decision making problem or as optimization problems with high complexity. Therefore, the achievable computational solution represents a critical part of the research. The application of intelligent methods is also justified by the flexibility and adaptation nature when searching for high quality feasible solutions. The main research topics covered in this project are: transmission and distribution system planning, transmission system operation and novel techniques for modern distribution systems operation. The systems to be used as references for all problems are those already published in technical journals and made available to the scientific community. (AU)

Scientific publications

(4)

(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)

MOMESSO, ANTONIO E. C.; BERNARDES, WELLINGTON MAYCON S.; ASADA, EDUARDO N. Adaptive directional overcurrent protection considering stability constraint. Electric Power Systems Research, v. 181, APR 2020. Web of Science Citations: 0.

MOMESSO, ANTONIO E. C.; BERNARDES, WELLINGTON MAYCON S.; ASADA, EDUARDO N. Fuzzy adaptive setting for time-current-voltage based overcurrent relays in distribution systems. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, v. 108, p. 135-144, JUN 2019. Web of Science Citations: 4.

MAZZINI, ANA PAULA; ASADA, EDUARDO N.; LAGE, GUILHERME GUIMARAES. Minimisation of active power losses and number of control adjustments in the optimal reactive dispatch problem. IET GENERATION TRANSMISSION & DISTRIBUTION, v. 12, n. 12, p. 2897-2904, JUL 10 2018. Web of Science Citations: 2.

BOTTURA, FERNANDO B.; BERNARDES, WELLINGTON M. S.; OLESKOVICZ, MARIO; ASADA, EDUARDO N. Setting directional overcurrent protection parameters using hybrid GA optimizer. Electric Power Systems Research, v. 143, p. 400-408, FEB 2017. Web of Science Citations: 10.