| Title | Distributed Average Consensus Algorithm for Damage Assessment of Power Distribution System |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Poudel, S., Sun, H., Nikovski, D., Zhang, J. |
| Conference Name | 2020 IEEE Power Energy Society Innovative Smart Grid Technologies Conference (ISGT) |
| Keywords | Agent, communication capability, communication graph, Damage Assessment, disaster event, disasters, distributed average consensus algorithm, distributed consensus algorithm, distribution network, distribution networks, graph theory, IEEE 123-node test case, numerical simulations, outage, PDS, power distribution system, pubcrawl, resilience, Resiliency, sensing units, switch status, Topology |
| Abstract | In this paper, we propose a novel method to obtain the damage model (connectivity) of a power distribution system (PDS) based on distributed consensus algorithm. The measurement and sensing units in the distribution network are modeled as an agent with limited communication capability that exchanges the information (switch status) to reach an agreement in a consensus algorithm. Besides, a communication graph is designed for agents to run the consensus algorithm which is efficient and robust during the disaster event. Agents can dynamically communicate with the other agent based on available links that are established and solve the distributed consensus algorithm quickly to come up with the correct topology of PDS. Numerical simulations are performed to demonstrate the effectiveness of the proposed approach with the help of an IEEE 123-node test case with 3 different sub-graphs. |
| DOI | 10.1109/ISGT45199.2020.9087643 |
| Citation Key | poudel_distributed_2020 |
Distributed Average Consensus Algorithm for Damage Assessment of Power Distribution System