Reliability Analysis of Smart Meters Based on Fuzzy Analytic Hierarchy Process

As a critical component in power systems, smart meters are designed to measure and monitor electricity consumption, with their reliability serving as a vital indicator for ensuring normal power system operation and supply quality. This study establishes an operational state evaluation system based on smart meter operating environments, anomaly detection, and field tests. By employing the Fuzzy Analytic Hierarchy Process (FAHP), we conduct reliability assessments using actual operational data. Case study results demonstrate that the FAHP-based reliability evaluation method objectively characterizes smart meter reliability features, providing decision-making support for their deployment, dispatching, maintenance, and lifecycle management.