Decentralized Optimal Scheduler for Prosumers in a Local Electric Energy Market

Local energy markets (LEMs) provide an opportunity for prosumers to exchange their energy at the local grid level. Despite various studies on LEMs and their use in decentralizing the traditional top-down approach of electricity grids, there is still a lack of effective coordination and scheduling methods for energy trading. The concepts still lack ideas as regards how to effectively coordinate the markets and schedule the local devices for proper energy trading. In this work, we propose an open-source optimal scheduling model to enable local prosumers to effectively coordinate their devices for local energy trading. The proposed model was evaluated for its applicability in a German use case scenario. The simulation results show that the model can create a community self-sufficiency of up to 82% if properly coordinated and provide additional economic benefits to the local prosumers.