Publication: Computational intellegence approach for overcurrent relay coordination
| dc.contributor.author | Qamarul Ariff Azlan | |
| dc.date.accessioned | 2024-07-30T07:56:53Z | |
| dc.date.available | 2024-07-30T07:56:53Z | |
| dc.date.issued | 2017 | |
| dc.description | TK2861.Q35 2017 | |
| dc.description.abstract | This project develops optimization techniques for overcurrent relay coordination. Since the problem has many values, the mathematical method will not succeed in solving complex mathematical equation. Evolutionary Programming and Differential Evolutionary Immunized Ant Colony Optimization (DEIANT) are the techniques that solve complex equation to get the optimum values. The main objective is to use EP and DEIANT algorithms to solve relay coordination problems in order to get best outcome. The developed techniques will ensure that the relays will operate when it accomplishes the necessity required. The techniques are to calculate the operatory conditions of overcurrent relay when fault is detected. There are two types of settings that must be calculated, which are pickup currents (1) and time dial settings (TDS). The challenge for this project is to solve complex mathematical equation using Evolutionary Programming and DEIANT to implement into the OCR coordination. | |
| dc.identifier.uri | https://irepository.uniten.edu.my/handle/123456789/33009 | |
| dc.language.iso | en | |
| dc.subject | Electric power systems | |
| dc.subject | Protective relays | |
| dc.title | Computational intellegence approach for overcurrent relay coordination | |
| dc.type | Resource Types::text::Final Year Project | |
| dspace.entity.type | Publication | |
| oaire.citation.endPage | 52 | |
| oaire.citation.startPage | 1 | |
| oairecerif.author.affiliation | #PLACEHOLDER_PARENT_METADATA_VALUE# |