Resilience-Oriented Optimization Scheduling for Intelligent Building Integrated Energy System

With the rapid development of renewable energy and electric vehicle charging demand, intelligent scheduling of building integrated energy systems has become crucial for achieving sustainable development goals. A bi-level optimization scheduling scheme is proposed to address the optimization of photovoltaic-storage-charging systems in intelligent buildings and enhance resilience. The economic efficiency and resilience metrics are jointly considered by the proposed scheme, aiming to minimize the cost while ensuring building power supply security and improving renewable energy utilization. An improved grey wolf optimizer (IGWO) is employed to solve the optimization problem. Four scenarios are designed for case analysis to verify the effectiveness and feasibility of the proposed scheme under different conditions. The results demonstrate that the proposed scheme effectively reduces total costs, enhances resilience, and improves the capability to handle extreme events.