Multistage day-ahead scheduling of the distributed energy sources in a local energy community

This paper presents a multistage approach for the day-ahead scheduling of a local energy community (LEC) aimed at considering the uncertainty associated to both the generation from renewable sources and the energy consumption. The considered LEC corresponds to a community of prosumers connected to the same distribution power network. In general, the considered prosumers are equipped with photovoltaic generating units, energy storage units, and local loads. The scheduling of the LEC is defined by a distributed optimization procedure based on the alternating direction method of multipliers (ADMM), which minimizes the total energy procurement costs. The adopted approach adjusts the operational planning according to the current operative conditions by means of a scenario-based multistage procedure. This paper describes the scenario tree generation and an intraday decision-making procedure based on the day-ahead solution. Moreover, numerical tests are presented for several operating scenarios.