The development of local energy communities and collective self-consumption framework at a large scale requires new control methods that take into account users preferences. This article presents a model of such a community, with diverse actors (photovoltaic generators, electric vehicles, storage system and tertiary buildings). Game theory is used to model the preferences of each user and to build a mathematical framework where each user optimizes individually his power profile according to these preferences. An ADMM distributed algorithm (Alternating Direction of Method of Multipliers) is employed for practical implementation. Thus, a central agent is no longer needed to reach the system equilibrium, in which all users are satisfied while ensuring that the local energy community does not import more power from the grid than allowed. The simulations performed on real data for different scenarios representing diverse users behaviors show that the developed approach converges to a stable state, and leads to a maximization of local energy exchanges.

大规模发展本地能源社区和集体自我消费框架需要考虑到用户偏好的新控制方法。本文介绍了一个具有不同参与者（光伏发电机，电动汽车，存储系统和三级建筑）的社区模型。博弈论用于对每个用户的偏好进行建模，并建立一个数学框架，其中每个用户根据这些偏好分别优化其功率配置文件。实际应用中采用了ADMM分布式算法（乘法器的交替方向）。因此，不再需要中央代理来达到系统平衡，在该平衡下，所有用户都将满意，同时确保本地能源社区不会从电网中输入比允许的更多的电力。