Optimal Scheduling for Local Energy Communities Using Stochastic and Robust Optimization

This paper presents a robust 24-hour-ahead scheduling problem for a microgrid connected to the main electrical network in the form of a Local Energy Community. The problem is formulated as a stochastic optimisation problem, including a robust optimisation formulation of the scheduling problem. A clustering algorithm based on k-means is used to generate different scenarios for demand, photovoltaic generation, and electricity prices. The scheduling problem, which includes the possibility of selling energy to the main grid, is tested using the resources and demand of a university campus, which contains flexible and non-flexible loads, a photovoltaic plant, and a battery energy storage system.