Balancing Fairness and Efficiency in Energy Resource Allocations

This paper makes two main contributions towards this goal. First, we formalize the problem of fair energy resource Distributed energy resources (DERs), such as small-scale allocation, providing a framework for studying fairness in the solar and wind generation, electric vehicles, and batteries, context of energy systems. This framework allows aggregators are crucial components of the clean energy transition; they to trace out a portion of the Pareto front and explore the enable end-users to actively participate in the energy market optimal trade-offs between efficiency and fairness. Second, by generating, storing, and potentially selling electricity back we generalize the resource allocation problem to involve to the grid [1]. However, individual users often cannot jointly optimizing the total resources to allocate and the directly interact with the larger electricity market, facing allocation to individual users. This generalization leads to barriers because of the complexity of energy markets, lack of new theoretical and computational challenges.