A Low-Complexity Framework for Distributed Energy Market Targeting Smart-Grid

With the increasing connection of distributed energy resources, traditional energy consumers are becoming prosumers, who can both dissipate and generate energy in a smart-grid environment. This enables the wide adoption of dynamic pricing scheme, where demand and price forecast are applied for estimating energy cost and loads scheduling. Throughout this paper we propose a Peer-to-Peer (P2P) platform, as well as a light-weighted system orchestrator based on game theory to support the energy trading. Additionally, we discuss the hardware implementation of the proposed solution onto a low-cost reconfigurable device. Experimental results based on real data validate the efficiency of proposed framework, as we achieve considerable energy savings (on average cost reduction by 87%) compared to the corresponding cost from the main-grid.