Optimal scheduling of electrical energy in smart buildings based on peer-to-peer transactions

Abstract

Smart buildings， as prosumers， not only facilitate the local consumption of renewable energy sources （RES） but also coordinate internal flexible loads to reduce electricity consumption costs through peer-to-peer （P2P） electrical energy transactions. Based on this， the paper analyzes wind-photovoltaic （WPV） resources and flexible loads in smart buildings and proposes a P2P optimal scheduling strategy that incorporates joint transactions of electricity and regulation capacity. Initially， flexible load adjustments are used to provide regulation capacity， eliminating the prediction deviations of WPV outputs. Subsequently， the paper introduces a combined transaction mechanism for electricity and regulation capacity， where both electricity and regulation capacity are traded as market commodities in P2P transactions. Finally， case studies are conducted to analyze the proposed method and model. The results demonstrate that the proposed model not only effectively increases the local consumption of WPV but also encourages market participants to actively engage in P2P transactions.

Keywords

• smart building
• p2p transaction
• wpv uncertainty
• flexible load
• joint trading market