Applying Multiple Particle Swarm Optimization Algorithm to the Optimal Setting for Time Coordination Curve of FTU in Distribution Feeder Automated System
碩士 === 國立高雄應用科技大學 === 電機工程系博碩士班 === 102 === The objective of this thesis is to improve the Feeder Terminal Unit (FTU). Due to the shortage capacity of computing hardware, the fault curve which adopts Time Coordination Curve (TCC) operation will be jagged status. It may cause more severe detect error...
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2014
|
| Online Access: | http://ndltd.ncl.edu.tw/handle/3a5r8x |
| Summary: | 碩士 === 國立高雄應用科技大學 === 電機工程系博碩士班 === 102 === The objective of this thesis is to improve the Feeder Terminal Unit (FTU). Due to the shortage capacity of computing hardware, the fault curve which adopts Time Coordination Curve (TCC) operation will be jagged status. It may cause more severe detect error.
In order to solve the jagged curve, the study proposes Multiple Particle Swarm Optimization (MPSO) which can improve the existing early convergence problem. After the jagged curve via the multiple Particle Swarm Optimization operation, it can adjust the position of discrete points on the jagged curves and make the jagged curve smoother. It will conform to protective coordination regulation between the upstream and downstream. The most important value is to improve the error of FTU fault curve by computer simulation, and also decrease fault flags misjudge in distribution system. Therefore the study can advance the success rate for Fault Detection Isolation and Restoration (FDIR).
|
|---|