Optimizing energy consumption in local energy communities is one of the key contributions to the so-called smart grid. Such communities are equipped with rooftop photovoltaic power plants or other forms of small power plants for local energy production. In addition, a number of appliances allow for shiftable energy consumption, e.g., heat pumps or electric vehicle charging stations. The ability to shift is, however, dependent on customer preferences. In this paper, we present a trust-less approach for optimizing the electricity consumption in a local energy community given forecasts of energy production and customer demands, along with constraints for shiftable loads. In larger communities, appointing a single party for managing load curtailment requires a high level of trust. In the proposed trust-less approach, all parties can independently propose optimal solutions for this optimization problem and then globally agree one one solution that meets the defined requirements to the greatest extent.

中文翻译：

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本地能源社区的无信任电力消耗优化

优化本地能源社区的能源消耗是所谓智能电网的关键贡献之一。这些社区配备了屋顶光伏电站或其他形式的小型电站，用于当地能源生产。另外，许多设备允许可移动的能量消耗，例如，热泵或电动车辆充电站。但是，转移的能力取决于客户的偏好。在本文中，我们给出了一种不信任的方法来优化本地能源社区的用电量，给定了能源生产和客户需求的预测，以及可移动负载的约束。在较大的社区中，任命一个人来管理削减负荷需要高度的信任。在提议的无信任方法中，