A Distributed Malicious Agent Detection Scheme for Resilient Power Apportioning in Microgrids
Vivek Khatana, Soham Chakraborty, Govind Saraswat, Sourav Patel, and, Murti V. Salapaka

TL;DR
This paper presents a distributed detection scheme for malicious DERs in power networks, enhancing the resilience of power apportioning for ancillary services through a novel framework tested on a real-world experimental setup.
Contribution
It introduces a new distributed detection method for malicious DERs and integrates it with power apportioning to improve resilience in power network management.
Findings
Effective detection of malicious DERs demonstrated in experiments.
Resilient power apportioning improves ancillary service dispatch.
Framework applicable to diverse DERs and loads.
Abstract
We consider the framework of distributed aggregation of Distributed Energy Resources (DERs) in power networks to provide ancillary services to the power grid. Existing aggregation schemes work under the assumption of trust and honest behavior of the DERs and can suffer when that is not the case. In this article, we develop a distributed detection scheme that allows the DERs to detect and isolate the maliciously behaving DERs. We propose a model for the maliciously behaving DERs and show that the proposed distributed scheme leads to the detection of the malicious DERs. Further, augmented with the distributed power apportioning algorithm the proposed scheme provides a framework for resilient distributed power apportioning for ancillary service dispatch in power networks. A controller-hardware-in-the-loop (CHIL) experimental setup is developed to evaluate the performance of the proposed…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSmart Grid Security and Resilience · Microgrid Control and Optimization · Smart Grid Energy Management
Methodstravel james
