| Title |
A distributed self-healing method for active distribution systems |
| Authors |
Monadi M. , Farzin H. , RODRÍGUEZ CORTÉS, PEDRO |
| External publication |
No |
| Means |
8th International Conference On Renewable Energy Research And Applications, Icrera 2019 |
| Scope |
Conference Paper |
| Nature |
Científica |
| Web |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85080971231&doi=10.1109%2fICRERA47325.2019.8996946&partnerID=40&md5=c2e46e938461dd82830952cb479eec3b |
| Publication date |
01/01/2019 |
| Scopus Id |
2-s2.0-85080971231 |
| DOI |
10.1109/ICRERA47325.2019.8996946 |
| Abstract |
This paper proposes a self-healing method for active and smart distribution systems. The method uses a distributed algorithm for Fault Location, Isolation, and Service Restoration (FLISR) to enhance the reliability of active distribution systems. The proposed FLISER method is designed to be implemented in the relays of the circuit breakers (CBs) of distribution lines. The same algorithm is executed for all the CBs and each CB only communicates with the adjacent CBs. Therefore, the proposed method takes advantages of the benefits of distributed methods. To provide a fast service restoration, especially when a zone of the distribution grid is disconnected from the upstream transmission system, the method uses a five-step process to provide the required power for loads of the faulted feeder by use of tie lines and the available capacity of distributed generators (DGs). In comparison with the previous works, in the proposed method the minimum number of CBs are opened. The exchanged data between the network elements can be transferred by use of the IEC61850 protocol and in the form of standard GOOSE messages. © 2019 IEEE. |
| Keywords |
Electric circuit breakers; Electric power transmission; Electric power transmission networks; Parallel algorithms; Restoration; Active distribution networks; Active distribution systems; Distributed generator (DGs); Fast service restoration; FLISR; Self-healing; Smart distribution systems; Smart grid; Self-healing materials |
| Universidad Loyola members |
|
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