| dc.creator |
Mwifunyi, Rukia J. |
|
| dc.creator |
Mvungi, Nerey H. |
|
| dc.creator |
Kissaka, Mussa M. |
|
| dc.date |
2020-09-07T09:21:31Z |
|
| dc.date |
2020-09-07T09:21:31Z |
|
| dc.date |
2019 |
|
| dc.date.accessioned |
2022-10-20T13:45:32Z |
|
| dc.date.available |
2022-10-20T13:45:32Z |
|
| dc.identifier |
Mwifunyi, R. J., Mvungi, N. H. & Kissaka, M. M. (2019). Agents based service restoration in electrical secondary distribution network. In 2019 6th International Conference on Systems and Informatics (ICSAI) (pp. 292-296). IEEE. |
|
| dc.identifier |
DOI: 10.1109/ICSAI48974.2019.9010509 |
|
| dc.identifier |
http://hdl.handle.net/20.500.12661/2473 |
|
| dc.identifier.uri |
http://hdl.handle.net/20.500.12661/2473 |
|
| dc.description |
Abstract. The full-text article is available at https://ieeexplore.ieee.org/document/9010509 |
|
| dc.description |
Service Restoration (SR) is one of the fundamental functionalities of distribution management system during the fault management process. Several approaches have been devised to solve the SR problem on the distribution network including centralized and distributed approaches. Most of the existing studies focused on the service restoration in the medium voltage network with very few focusing on the Secondary Distribution Network (SDN). In most countries including Tanzania, the service restoration is accomplished manually through relying on operational experiences, rated capacity of the transformers and peak hour demand for decision making. This study aimed at designing a distributed algorithm based on the multiagent system for SR in the SDN. The study has been conducted through intensive literature review together with focus group discussion with key stakeholders from the utility company, study visits to the Tanzania SDN in Dar es Salaam region and interviews with the technical people. SDN with three transformers rated at 315kVA, 200kVA and 100kVA have been chosen as the pilot site for designing the distributed algorithm. The designed algorithm includes designing of multiagent system, objective functions to be optimized and design for the equipment specifications and power system network topology to support SR. Four agents namely, Control Agent, Grid Agent, Load Agent and Switch Agent have been found to be optimal for the SR process. The designed restoration process mainly focuses on load transfer to the nearby transformer and load shedding. The future work will focus on the real implementation of the designed algorithm and consideration of the integration of the renewable distributed generations. |
|
| dc.language |
en |
|
| dc.publisher |
IEEE Xplore |
|
| dc.subject |
Service restoration |
|
| dc.subject |
Distribution management |
|
| dc.subject |
Distribution management system |
|
| dc.subject |
Distribution network |
|
| dc.subject |
Distributed algorithms , |
|
| dc.subject |
Multiagent system |
|
| dc.subject |
Power system network |
|
| dc.subject |
Power system |
|
| dc.subject |
Electrical secondary distribution network |
|
| dc.subject |
Power network |
|
| dc.subject |
Management |
|
| dc.subject |
Management system |
|
| dc.subject |
Power |
|
| dc.title |
Agents based service restoration in electrical secondary distribution network |
|
| dc.type |
Conference Proceedings |
|