International Journal of Applied Power Engineering (IJAPE)
Vol 14, No 2: June 2025

Methodology for incisive foraging of high-risk junctions and elimination of injected false data in smart grid

Ghosh, Poulami (Unknown)
Biswas, Subrata (Unknown)
Purkait, Prithwiraj (Unknown)



Article Info

Publish Date
01 Jun 2025

Abstract

The present work represents a method for identification of the vulnerable nodes in smart grid as well as assessment of the performance of voltage stability indicator technique with the help of weighted least square scheme. in today’s smart grid system, false data injection (FDI) is the major issue to supply uninterruptedly at demand side in advanced metering infrastructure (AMI). The recent blackouts are the consequence of non-identifying FDI as research on FDI is not considered under power system analysis. In our research, vulnerable nodes of a power system network have been identified and a state estimation method was used to eliminate superfluous data for those identified nodes. Voltage stability indicator (VSI) based state estimation have been used successfully to make the smart grid system error free as possible. VSI method has been used first to find the vulnerable nodes of the grid after that the efficient state estimation method i.e. optimal weighted least square (optimal WLS) have been employed to get refined result. Results show that VSI based technique in concurrence with optimal WLS has potential to eliminate undesirable data with sensible level of precision.

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Journal Info

Abbrev

IJAPE

Publisher

Subject

Electrical & Electronics Engineering

Description

International Journal of Applied Power Engineering (IJAPE) focuses on the applied works in the areas of power generation, transmission and distribution, sustainable energy, applications of power control in large power systems, etc. The main objective of IJAPE is to bring out the latest practices in ...