Framework for managing day-ahead trading and storage scheduling in PV-based prosumer microgrids with islanding capability

Abstract

The integration of photovoltaic (PV) generation and energy storage systems in prosumer microgrids enables active participation in electricity markets. However, efficient management of day-ahead trading and storage scheduling remains challenging, particularly under forecast uncertainties and the need for islanding readiness. This study aims to develop a comprehensive framework for managing day-ahead electricity trading and energy storage scheduling in PVbased prosumer microgrids. The framework seeks to maximize economic profit while ensuring operational reliability and maintaining adequate reserves for potential islanded operation. The proposed approach employs day-ahead optimization based on forecasts of solar generation and critical load demand. These forecasts serve as input data for determining market transactions and optimal storage operation strategies. The framework was evaluated using historical operational and market data to assess its effectiveness in achieving profitability and reliability. Simulation results demonstrate that the framework enables efficient coordination of market participation and energy storage operation, achieving improved economic outcomes and maintaining sufficient energy reserves for islanded operation. The methodology effectively balances trading benefits with the technical constraints of prosumer systems under forecast uncertainty. The proposed management framework enhances the economic and operational performance of PV-based prosumer microgrids. It provides a practical tool for supporting intelligent decision-making in electricity markets and contributes to the development of resilient, self-sufficient energy communities.