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Optimal Participation of Residential Aggregators in Energy and Local Flexibility Markets

机译：住宅聚集商在能源和本地灵活性市场中的最佳参与

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摘要

This paper presents an optimization model for Home Energy Management Systems from an aggregator's standpoint. The aggregator manages a set of resources such as PV, electrochemical batteries and thermal energy storage by means of electric water heaters. Resources are managed in order to participate in the day-ahead energy and local flexibility markets, also considering grid constraint support at the Point of Common Coupling. The resulting model is a Mixed-Integer Linear Programming problem in which the objective is to minimize day-ahead operation costs for the aggregator while complying with energy commitments in the day-ahead market and local flexibility requests. Three sources of uncertainty are considered: energy prices, PV production and load. Adjustable Robust Optimization is used to find a robust counterpart of the problem for including uncertainty. The results obtained show that using robust optimization allows strategic bidding to capture uncertainties while complying with obligations in the wholesale and local market. Data from a real-life energy community with 25 households is used to validate the proposed robust bidding methodology.
机译：本文从集成商的角度提出了一种家庭能源管理系统的优化模型。聚合器通过电热水器管理一组资源，例如PV，电化学电池和热能存储。对资源进行管理以参与日前的能源和本地灵活性市场，同时还考虑在公共耦合点支持网格约束。生成的模型是混合整数线性规划问题，其目的是在满足日前市场对能源承诺和当地灵活性要求的同时，最大程度地降低聚合器的日前运营成本。考虑了三个不确定性来源：能源价格，光伏发电和负荷。可调稳健优化用于找到包括不确定性在内的稳健问题。获得的结果表明，使用鲁棒性优化可以使战略性投标捕捉不确定性，同时遵守批发和本地市场中的义务。来自25个住户的真实能源社区的数据用于验证所提出的可靠的投标方法。

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