TR2020-013

Distributed Average Consensus Algorithm for Damage Assessment of Power Distribution system

    •  Poudel, S., Sun, H., Nikovski, D.N., Zhang, J., "Distributed Average Consensus Algorithm for Damage Assessment of Power Distribution system", IEEE PES Innovative Smart Grid Technologies Conference (ISGT), DOI: 10.1109/​ISGT45199.2020.9087643, February 2020.
      BibTeX TR2020-013 PDF
      • @inproceedings{Poudel2020feb,
      • author = {Poudel, Shiva and Sun, Hongbo and Nikovski, Daniel N. and Zhang, Jinyun},
      • title = {Distributed Average Consensus Algorithm for Damage Assessment of Power Distribution system},
      • booktitle = {IEEE PES Innovative Smart Grid Technologies Conference (ISGT)},
      • year = 2020,
      • month = feb,
      • doi = {10.1109/ISGT45199.2020.9087643},
      • issn = {2472-8152},
      • isbn = {978-1-7281-3103-0},
      • url = {https://www.merl.com/publications/TR2020-013}
      • }
  • MERL Contacts:
  • Research Area:

    Electric Systems

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.