Bringing fairness to energy resource allocation remains a challenge, due to the complexity of system structures and economic interdependencies among users and system operators' decision-making. The rise of distributed energy resources has introduced more diverse heterogeneous user groups, surpassing the capabilities of traditional efficiency-oriented allocation schemes. Without explicitly bringing fairness to user-system interaction, this disparity often leads to disproportionate payments for certain user groups due to their utility formats or group sizes. Our paper addresses this challenge by formalizing the problem of fair energy resource allocation and introducing the framework for aggregators. This framework enables optimal fairness-efficiency trade-offs by selecting appropriate objectives in a principled way. By jointly optimizing over the total resources to allocate and individual allocations, our approach reveals optimized allocation schemes that lie on the Pareto front, balancing fairness and efficiency in resource allocation strategies.

翻译：在能源资源分配中实现公平性仍是一项挑战，这源于系统结构的复杂性、用户与系统运营者决策之间的经济相互依存关系。分布式能源资源的兴起引入了更多异质化用户群体，超出了传统效率导向型分配方案的应对能力。若未能在用户-系统交互中明确引入公平性，这种差异往往导致某些用户群体因其效用形式或群体规模而承担不成比例的费用。本文通过形式化公平能源资源分配问题并引入聚合者框架来应对这一挑战。该框架通过以原则性方式选择适当目标，可实现公平与效率的最优权衡。通过联合优化待分配的总资源与个体分配方案，我们的方法揭示了位于帕累托前沿上的最优分配方案，从而在资源分配策略中平衡公平性与效率。