Publication: Fault section estimation in electric power systems using an artificial immune system algorithm
| dc.contributor.author | Leão, Fábio Bertequini [UNESP] | |
| dc.contributor.author | Pereira, Rodrigo A. F. [UNESP] | |
| dc.contributor.author | Mantovani, José R. S. [UNESP] | |
| dc.contributor.institution | Universidade Estadual Paulista (UNESP) | |
| dc.date.accessioned | 2022-04-29T07:26:29Z | |
| dc.date.available | 2022-04-29T07:26:29Z | |
| dc.date.issued | 2008-01-01 | |
| dc.description.abstract | This work proposes an unconstrained binary programming (UBP) model for fault section estimation in power systems. UBP model consists in a set of equations that represent in a logical way the expected states of the relays of the apparatus protection system. An artificial immune system algorithm (AISA) is developed in order to find the correct fault section estimate provided by the data from the supervisory control and data acquisition (SCADA) system. The proposed methodology is tested using part of the South-Brazilian electric power system. Control parameters of the AISA are calibrated to increase the efficiency and velocity of the algorithm. Results show the potential and the efficiency of the proposed methodology to fault section estimation online in electric power systems. | en |
| dc.description.affiliation | Reserch Group in Electric Power System Planning, Department of Electrical Engineering, Engineering College of Ilha Solteira, São Paulo State University, UNESP, Post Office Box 31 | |
| dc.description.affiliationUnesp | Reserch Group in Electric Power System Planning, Department of Electrical Engineering, Engineering College of Ilha Solteira, São Paulo State University, UNESP, Post Office Box 31 | |
| dc.identifier.citation | 16th Power Systems Computation Conference, PSCC 2008. | |
| dc.identifier.scopus | 2-s2.0-84944097046 | |
| dc.identifier.uri | http://hdl.handle.net/11449/228053 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | 16th Power Systems Computation Conference, PSCC 2008 | |
| dc.source | Scopus | |
| dc.subject | Artificial immune systems | |
| dc.subject | Fault section estimation | |
| dc.subject | Power system protection | |
| dc.title | Fault section estimation in electric power systems using an artificial immune system algorithm | en |
| dc.type | Trabalho apresentado em evento | |
| dspace.entity.type | Publication | |
| unesp.department | Engenharia Elétrica - FEIS | pt |