Enhancing community resilience and energy efficiency through centralized peer-to-peer energy trading with a case study on photovoltaic systems and dynamic pricing

The current paper offers a unified management framework for peer-to-peer (P2P) community energy sharing. The framework is coordinated via an Energy Pawn agent, which facilitates dynamic energy exchange among prosumers equipped with photovoltaic generation and flexible demand. Also, a centralized storage and time-varying electricity pricing are incorporated. The trading, arbitrage, and dispatching procedures are optimized by the Energy Pawn to assess a balance between local generation, consumption, and grid interaction. The proposed framework’s key contribution is its Multi-Resolution Forecast Assimilation and Market-Adaptive Dispatch (MFAMAD) strategy. This strategy decomposes the load profiles into multiple temporal resolutions using wavelet transforms, which leads to enhanced forecast precision. The prediction errors are corrected via real-time measurements to support the adaptive dispatch under uncertainty and improve system resilience. The framework transmits the dynamic price signals to prosumers and encourages the load shifting according the individual utility maximization. In this regard, the peak load was reduced and the grid stability enhanced. The optimization procedure aimed at minimizing social costs and reliance on the main grid and maximizing the renewable energy utilization. Subsequently, it offers a scalable and adaptive solution for future energy communities aiming to balance autonomy, efficiency, and sustainability.