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

TL;DR

This paper introduces Significant Moments Analysis (SMA), a real-time scheduling method for energy management in micro-grids that predicts load feasibility and power insufficiencies using dynamic models.

Contribution

The paper presents a novel SMA approach for real-time scheduling analysis in micro-grids, enabling feasibility checks and power insufficiency predictions.

Findings

SMA accurately predicts scheduling feasibility.

SMA identifies moments of power insufficiency.

Simulation confirms effectiveness of the method.

Abstract

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