Multiagent based fault localisation and service restoration in Tanzanian secondary distribution network
Fault Localisation and Service Restoration (FLSR) is a fundamental function during the distribution system’s fault management process for improved service reliability and resilience. In Tanzania, fault management in the Secondary Distribution Network (SDN) is accomplished manually through customer c...
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Online Access: | http://dx.doi.org/10.1080/23311916.2021.1975900 |
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doaj-dbf0b65efce84a7792d7ba97c9e5055e2021-09-24T14:41:26ZengTaylor & Francis GroupCogent Engineering2331-19162021-01-018110.1080/23311916.2021.19759001975900Multiagent based fault localisation and service restoration in Tanzanian secondary distribution networkRukia J. Mwifunyi0Nerey H. Mvungi1Mussa M Kissaka2University of Dar Es SalaamUniversity of Dar Es SalaamUniversity of Dar Es SalaamFault Localisation and Service Restoration (FLSR) is a fundamental function during the distribution system’s fault management process for improved service reliability and resilience. In Tanzania, fault management in the Secondary Distribution Network (SDN) is accomplished manually through customer calls and manual-line inspections. Service restoration’s decision relies on prior experiences, rated capacity of transformers and peak hour demand, causing prolonged service restoration and load shedding. Approaches devised to solve the FLSR problem include centralised and distributed ones. The study aimed at designing and developing a distributed algorithm based on the Multiagent System (MAS) for FLSR in SDN. Data from the Tanzanian utility company, including load demand, distribution network topology, and emergency reports, enabled the development of the MAS for FLSR. An intensive literature review has also been conducted. Five agents, namely Control Agent, Grid Agent, Load Agent, Renewable Distributed Generation Agent and Switch Agent have been developed to support the FLSR process. The agents facilitated decision-making by locating faults and perform a restoration process through load transfer to the nearby transformer and shedding loads. Consideration of the stochastic nature of load demand through using the LSTM model maximised the restored load. Future work will focus on deploying and testing the developed algorithm on a real power system.http://dx.doi.org/10.1080/23311916.2021.1975900fault locationservice restorationmultiagent systemdistributed controlload shedding |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Rukia J. Mwifunyi Nerey H. Mvungi Mussa M Kissaka |
spellingShingle |
Rukia J. Mwifunyi Nerey H. Mvungi Mussa M Kissaka Multiagent based fault localisation and service restoration in Tanzanian secondary distribution network Cogent Engineering fault location service restoration multiagent system distributed control load shedding |
author_facet |
Rukia J. Mwifunyi Nerey H. Mvungi Mussa M Kissaka |
author_sort |
Rukia J. Mwifunyi |
title |
Multiagent based fault localisation and service restoration in Tanzanian secondary distribution network |
title_short |
Multiagent based fault localisation and service restoration in Tanzanian secondary distribution network |
title_full |
Multiagent based fault localisation and service restoration in Tanzanian secondary distribution network |
title_fullStr |
Multiagent based fault localisation and service restoration in Tanzanian secondary distribution network |
title_full_unstemmed |
Multiagent based fault localisation and service restoration in Tanzanian secondary distribution network |
title_sort |
multiagent based fault localisation and service restoration in tanzanian secondary distribution network |
publisher |
Taylor & Francis Group |
series |
Cogent Engineering |
issn |
2331-1916 |
publishDate |
2021-01-01 |
description |
Fault Localisation and Service Restoration (FLSR) is a fundamental function during the distribution system’s fault management process for improved service reliability and resilience. In Tanzania, fault management in the Secondary Distribution Network (SDN) is accomplished manually through customer calls and manual-line inspections. Service restoration’s decision relies on prior experiences, rated capacity of transformers and peak hour demand, causing prolonged service restoration and load shedding. Approaches devised to solve the FLSR problem include centralised and distributed ones. The study aimed at designing and developing a distributed algorithm based on the Multiagent System (MAS) for FLSR in SDN. Data from the Tanzanian utility company, including load demand, distribution network topology, and emergency reports, enabled the development of the MAS for FLSR. An intensive literature review has also been conducted. Five agents, namely Control Agent, Grid Agent, Load Agent, Renewable Distributed Generation Agent and Switch Agent have been developed to support the FLSR process. The agents facilitated decision-making by locating faults and perform a restoration process through load transfer to the nearby transformer and shedding loads. Consideration of the stochastic nature of load demand through using the LSTM model maximised the restored load. Future work will focus on deploying and testing the developed algorithm on a real power system. |
topic |
fault location service restoration multiagent system distributed control load shedding |
url |
http://dx.doi.org/10.1080/23311916.2021.1975900 |
work_keys_str_mv |
AT rukiajmwifunyi multiagentbasedfaultlocalisationandservicerestorationintanzaniansecondarydistributionnetwork AT nereyhmvungi multiagentbasedfaultlocalisationandservicerestorationintanzaniansecondarydistributionnetwork AT mussamkissaka multiagentbasedfaultlocalisationandservicerestorationintanzaniansecondarydistributionnetwork |
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