Design, Development and Validation of Centralised Two-Stage P2P Energy Community Market

Abstract

The PhD thesis proposes a centralised two-stage energy community market to address uncertainties in renewable generation and consumption, introducing a novel business model based on Battery as a Service (BaaS). A comprehensive review of Energy Communities (ECs) and Local Energy Markets (LEMs) identifies gaps in existing literature, paving the way for the proposed research. Mathematical modelling and control mechanisms for EC asset management, including real-time management and central optimisation, are detailed. The thesis develops a centralised optimisation algorithm for LEM operation and evaluates the proposed P2P pricing and energy-sharing market through scenario comparisons and sensitivity analysis. Key findings highlight the effectiveness of the proposed community-based P2P pricing and the performance benefits of integrating local energy storage solutions. Additionally, a new tariff proposal for electricity systems is presented, enhancing the profitability of the BaaS business model. Sensitivity analysis further elucidates the impact of various factors on the proposed two-stage LEM approach, providing valuable insights for implementation and future research directions