| Full text | |
| Author(s): |
Figueroa Escoto, Esau
;
Leao, Fabio Bertequini
;
IEEE
Total Authors: 3
|
| Document type: | Journal article |
| Source: | 2017 IEEE INTERNATIONAL AUTUMN MEETING ON POWER, ELECTRONICS AND COMPUTING (ROPEC); v. N/A, p. 6-pg., 2017-01-01. |
| Abstract | |
This paper proposes a method to solve the fault section estimation (FSE) problem in power systems by developing a nonlinear binary programming model using the AMPL mathematical programming language. This model is developed based on the minimum set covering problem that contemplates the philosophy and logic of the protection system employed by electrical power companies and associates the alarms of the protective relays reported by the SCADA system with the expected states of the protective relays' functions. The proposed method was evaluated using a benchmark test system found in the related literature and the results show its efficiency, correct diagnosis, computational robustness, with the advantage of not needing to calibrate any control parameter or training in order to solve the fault section estimation problem in power systems. (AU) | |
| FAPESP's process: | 06/02569-7 - Intelligent computational tool for real time alarm analysis and interpretation in power distribution substations |
| Grantee: | Fabio Bertequini Leao |
| Support Opportunities: | Scholarships in Brazil - Doctorate (Direct) |