Maximized Autonomous Economic Operation and Aggregated Equivalence for Microgrids with PVs and ESSs

With the rapid development of renewable energy, more microgrids integrating photovoltaics and energy storage systems (MGPEs) have been deployed. Frequent grid faults have consequently increased the likelihood of MGPEs operating in off-grid mode, highlighting the need to maximize their autonomous operation. This paper proposes an optimal day-ahead scheduling method, which aims to maximize autonomous economic operation and minimize dependence on the main grid. Based on the autonomous results, the internal resources of MGPEs are aggregated into an equivalent power unit (EPU) and an aggregated energy storage system (AESS). The aggregated demands and residual capabilities of these aggregated models are then quantified, thereby facilitating coordinated scheduling by the main grid. Compared with traditional cost-optimization approaches, this case study shows that the proposed method reduces the daily outage probability of MGPEs by at least 24.9%.