Dynamic group decision support models for locating faults in power systems

Document Type

Conference Proceeding

Publication Date

5-10-2021

Publication Title

Proceedings - 2021 4th IEEE International Conference on Industrial Cyber-Physical Systems, ICPS 2021

First Page

321

Keywords

Cyber-Physical Systems, Dynamic Consensus Reaching Process, Fault Location, Multiple Attribute Group Decision Making, Smart Grid

Last Page

327

Abstract

This work is devoted to the design of a multiple attribute group decision support model for locating faults in power systems. Fault location is firstly converted into a group decision making problem, and, then, a novel group decision making model is constructed to find the solution. The solution is found through the consensus assessment and selection process in multiple time-steps due to a large number of available alternatives in distributed power systems. Due to the dynamic nature of the decision environment, a novel fusion model is proposed to integrate the individual evaluations in each time-step by optimally selecting a set of dynamic weights for the collective evaluations. The validity and effectiveness of the proposed scheme are verified by locating open-circuit load-loss faults on the IEEE 39-bus system.

DOI

10.1109/ICPS49255.2021.9468223

ISBN

9781728162072

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