基于点对点交易的智能楼宇电能优化调度

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

智能楼宇的产消者特性不仅可以促进RES(可再生能源)就地消纳,还能够通过P2P(点对点)电能交易机制协调内部柔性负荷降低用电成本。基于此,以智能楼宇中的WPV(风光)资源和柔性负荷为分析对象,提出了一种计及电能-调节容量联合交易的智能楼宇P2P优化调度策略。首先通过调整柔性负荷的用电来提供调节容量,消除WPV出力的预测偏差。然后提出电能-调节容量联合交易市场机制,将电能和调节容量同时作为市场的交易商品参与P2P交易。最后,采用算例对所提方法和模型进行分析,结果表明所提模型不仅可以有效增加WPV就地消纳量,还能促使市场用户积极参与P2P交易。

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 elec⁃tricity and regulation capacity.Initially,flexible load adjustments are used to provide regulation capacity,eliminat⁃ing the prediction deviations of WPV outputs.Subsequently,the paper introduces a combined transaction mecha⁃nism for electricity and regulation capacity,where both electricity and regulation capacity are traded as market com⁃modities in P2P transactions.Finally,case studies are conducted to analyze the proposed method and model.The re⁃sults demonstrate that the proposed model not only effectively increases the local consumption of WPV but also en⁃courages market participants to actively engage in P2P transactions.