能源社区中柔性需求分布式调度的阈值定价
Threshold Pricing for Distributed Scheduling of Flexible Demands in Energy Communities
浏览论文内容
中文总结 AI 辅助
本文针对含表后可再生能源、可延迟电动汽车充电及温控负荷的能源社区，提出阈值定价规则的分布式调度方案，该方案渐近最优且可提升个体盈余。
中文摘要 AI 辅助
本文针对一个能源社区开发了基于价格的分布式调度方案，该社区的成员拥有表后可再生能源发电设施，以及可延迟的电动汽车充电负荷和价格敏感的温控负荷。协调员按照净能量计量电价与配电公司进行交易，并向各家庭广播社区电价，各家庭基于自身利益做出响应，由此产生的双层随机动态规划问题通常难以求解。本文的主要结果表明，联合最优集中式策略是关于社区总可再生能源发电量的双阈值策略。基于该结构，本文采用阈值定价规则，该规则具有统一性、个体理性、收入充足性，并且在轻负载条件下，就社区福利而言是渐近最优的。使用合成数据和真实数据进行的模拟验证了其渐近最优性和个体盈余增益。
英文摘要
This paper develops a price-based distributed scheduling in an energy community whose members own behind-the-meter renewable generation with deferrable EV charging and price-elastic thermostatic loads. A coordinator transacts with the distribution utility under a Net Energy Metering tariff and broadcasts a community price to which each household responds in its own interest, giving a bilevel stochastic dynamic program that is intractable in general. Our main result characterizes that the joint optimal centralized policy is a two-threshold policy on the community's aggregate renewable generation. Building on this structure, we adopt the Threshold Pricing Rule, which is uniform, individually rational, revenue adequate, and asymptotically optimal in terms of community welfare under a light-traffic condition. Simulations using synthetic and real world data confirm asymptotic optimality and individual surplus gains.
