Priority Index to Distribute Power More Fairly During Energy Crises Program

This paper introduces a priority index that blends both socio-economic and technical factors to help distribute power more fairly during energy crises. By considering indicators such as household income, unemployment rates, and building conditions, the model ensures that vulnerable communities receive critical energy services first. Formulated as a mixed-integer quadratically constrained programming problem, it is tested on the CIGRE Low Voltage Test System using real demand and solar generation data. The results show how combining grid power, PV outputs, and stored energy according to each consumer's priority score can maintain equity and resilience, even when supply is severely limited. These insights offer practical guidance for policymakers and grid operators seeking to protect essential loads and minimize the impact on those most in need.