Scheduling Feasibility of Energy Management in Micro-grids Based on Significant Moment Analysis

摘要

This paper studies the operation and scheduling of electric loads inmicro-grid, a highly automated and distributed cyber-physical energy system(CPES). We establish rigorous mathematical expressions for electric loads andbattery banks in the micro-grid by considering their characteristics andconstraints. Based on these mathematical models, we propose a novel real-timescheduling analysis method for priority-based energy management in micro-grid,named Significant Moments Analysis (SMA). SMA pinpoints all the crucial momentswhen electrical operations are requested among the micro-grid and establishes adynamic model to describe the scheduling behavior of electric loads. Using SMA,we can check the scheduling feasibility and predict whether the micro-grid cangenerate enough power to support the execution of electric loads. In the casewhere the power is insufficient to supply load demands, SMA can provideaccurate information about the amount of insufficient power and the time whenthe insufficiency happens. Simulated results are presented to show theeffectiveness of the proposed analysis method.