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Coordination of Overcurrent Relays Using Genetic Algorithms and Unconventional Curves
| Content Provider | Semantic Scholar |
|---|---|
| Author | Castillo, Camilo Andre Conde, Arturo |
| Copyright Year | 2014 |
| Abstract | 1 Abstract— This paper proposes an alternative that mitigates the lack of sensitivity of overcurrent relays in highly interconnected power systems, i.e. reduces their tripping time and increases their ability to detect fault conditions. Seeking to provide greater flexibility to the relay, each parameter of the inverse time curve equation is considered as an adjustable setting, obtaining unconventional inverse time curves. The settings for the coordination problem are obtained by the implementation of one of the evolutionary computing methods, the genetic algorithms. Furthermore, different levels of the load current are considered for each system, simulating actual behavior. Keywords— overcurrent relay, relay coordination, evolutionary computing, genetic algorithms. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.ewh.ieee.org/reg/9/etrans/ieee/issues/vol12/vol12issue8Dec.2014/12TLA8_17CastilloSalazar.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
