Resilient Identification of Distribution Network Topology
|Title:||Resilient Identification of Distribution Network Topology||Authors:||Jafarian, Mohammad; Soroudi, Alireza; Keane, Andrew||Permanent link:||http://hdl.handle.net/10197/12585||Date:||Aug-2021||Online since:||2021-11-08T14:17:08Z||Abstract:||IEEE Network topology identification (TI) is an essential function for distributed energy resources management systems (DERMS) to organize and operate widespread distributed energy resources (DERs). In this paper, discriminant analysis (DA) is deployed to develop a network TI function that relies only on the measurements available to DERMS. The propounded method is able to identify the network switching configuration, as well as the status of protective devices. Following, to improve the TI resiliency against the interruption of communication channels, a quadratic programming optimization approach is proposed to recover the missing signals. By deploying the propounded data recovery approach and Bayes' theorem together, a benchmark is developed afterward to identify anomalous measurements. This benchmark can make the TI function resilient against cyber-attacks. Having a low computational burden, this approach is fast-track and can be applied in real-time applications. Sensitivity analysis is performed to assess the contribution of different measurements and the impact of the system load type and loading level on the performance of the proposed approach.||Funding Details:||Science Foundation Ireland||Type of material:||Journal Article||Publisher:||IEEE||Journal:||IEEE Transactions on Power Delivery||Volume:||36||Issue:||4||Start page:||2332||End page:||2342||Copyright (published version):||2020 IEEE||Keywords:||Discriminant analysis; Distribution network; Distributed energy resources management systems; Topology identification||DOI:||10.1109/TPWRD.2020.3037639||Language:||en||Status of Item:||Peer reviewed||ISSN:||0885-8977||This item is made available under a Creative Commons License:||https://creativecommons.org/licenses/by-nc-nd/3.0/ie/|
|Appears in Collections:||Electrical and Electronic Engineering Research Collection|
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