| Title |
Development of Feeder Automation Software Considering the Diversity Events of Distribution Systems |
| Keywords |
Distribution Automation System ; Feeder Automation ; Expert System ; Artificial Intelligence |
| Abstract |
This paper proposes an expert system, which is able to determine the problem-solving strategy for diversity events occurred on the distribution system. The events include events related to the fault, scheduled outage and optimal operating task such as feeder line fault, line scheduled outage, line overload, system load balancing, system loss minimization, main transformer fault, main transformer scheduled outage, main transformer overload, main transformer protection control. The expert system enhances the reliability of software designed by the integrated concept for the diversity events. The expert system is implemented in C language. And the effectiveness and accuracy for the expert system is verified by simulating the event cases for typical distribution model. |