AUTHOR=Huang Xurui , Yang Bo , Yu Fengyuan , Pan Jun , Xu Qin , Xu Wanxin 

TITLE=Optimal Dispatch of Multi-Energy Integrated Micro-Energy Grid: A Model Predictive Control Method

JOURNAL=Frontiers in Energy Research

VOLUME=Volume 9 - 2021

YEAR=2021

URL=https://www.frontiersin.org/journals/energy-research/articles/10.3389/fenrg.2021.766012

DOI=10.3389/fenrg.2021.766012

ISSN=2296-598X

ABSTRACT=In order to address the impacts caused by the large-scale renewable energy resources accessing to the utility grid, the micro energy grid system, as a natural extension of the microgrid in the Energy Internet era, is proposed and developed to provide a new solution for the optimal utilization of renewable energy resources. In this paper, a multi-energy integrated  micro energy system is proposed which contains “wind, PV, bedrock energy storage, magnetic levitation electric refrigeration, solid oxide fuel cell, solar thermal collector, energy storage and V2G technologies”, and detailed models of the energy generation/conversion/storage devices are formulated. Besides, the uncertainties of renewable energy resources and cold/heat/electricity loads are considered, and the optimal dispatch problem of micro energy system is established from day-ahead and real-time time scales based on model predictive control method. The day-ahead optimal scheduling aims at economic optimization and guides the real-time scheduling. While the real-time scheduling utilizes rolling optimization and feedback correction mechanism to effectively correct the deviation caused by the real-time update of renewable energy generations and loads, which improves the optimization control accuracy, follows the day-ahead dispatch plan, and ensures the economics of real-time scheduling at the same time.