| Title | Electricity-Theft Detection in Smart Grids Using Wireless Sensor Networks |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | G, Emayashri, R, Harini, V, Abirami S, M, Benedict Tephila |
| Conference Name | 2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS) |
| Date Published | mar |
| Keywords | Automation, Clustering algorithms, compositionality, Computational modeling, Computer architecture, Costs, Distribution, Electricity management, Electricity theft detection, Hierarchical algorithm, human factors, Monitoring, pubcrawl, resilience, Resiliency, Smart Grid Sensors, Smart grids, transmission, Wireless sensor networks |
| Abstract | Satisfying the growing demand for electricity is a huge challenge for electricity providers without a robust and good infrastructure. For effective electricity management, the infrastructure has to be strengthened from the generation stage to the transmission and distribution stages. In the current electrical infrastructure, the evolution of smart grids provides a significant solution to the problems that exist in the conventional system. Enhanced management visibility and better monitoring and control are achieved by the integration of wireless sensor network technology in communication systems. However, to implement these solutions in the existing grids, the infrastructural constraints impose a major challenge. Along with the choice of technology, it is also crucial to avoid exorbitant implementation costs. This paper presents a self-stabilizing hierarchical algorithm for the existing electrical network. Neighborhood Area Networks (NAN) and Home Area Networks (HAN) layers are used in the proposed architecture. The Home Node (HN), Simple Node (SN) and Cluster Head (CH) are the three types of nodes used in the model. Fraudulent users in the system are identified efficiently using the proposed model based on the observations made through simulation on OMNeT++ simulator. |
| DOI | 10.1109/ICACCS54159.2022.9785306 |
| Citation Key | g_electricity-theft_2022 |
Electricity-Theft Detection in Smart Grids Using Wireless Sensor Networks