The security and sustainability of the electricity supply chain play a vital role in the performance of the power network and the continuity of public service delivery. Considering the complexity of this chain and the influence of environmental and operational factors, identifying and prioritizing risks at the level of electricity distribution companies is essential for enhancing network resilience and improving operational efficiency. This approach enables managers to allocate resources more effectively and respond promptly and efficiently to potential disruptions. The present study is descriptive–survey in nature and cross-sectional in terms of time horizon. Data were collected through a structured questionnaire (with an inconsistency rate of 0.72) from 25 experts at the headquarters of the electricity distribution company, using a purposive sampling method. To analyze the data and rank the identified risks, a hybrid approach combining the Additive Ratio Assessment (ARAS) method and Failure Mode and Effects Analysis (FMEA) was applied. The results indicate that the most critical risks include insufficient capacity in energy transmission lines, power outages, and the lack of accurate demand forecasting during peak load periods, all of which limit the effective utilization of power plant capacity. To manage these risks, the adoption of intelligent technologies for obtaining more accurate data on regional energy consumption and optimizing energy distribution in transmission networks is recommended as an effective strategy to mitigate and control supply chain risks in the power sector.