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

In order to reduce the impacts caused by large-scale renewable energy resources accessing 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 e...

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Autores principales:	Xurui Huang, Bo Yang, Fengyuan Yu, Jun Pan, Qin Xu, Wanxin Xu
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	micro energy grid optimal dispatch uncertainty model predictive control rolling optimization General Works A
Acceso en línea:	https://doaj.org/article/5a3cf138b31749c8b77c9f0bb9da6079
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spelling	oai:doaj.org-article:5a3cf138b31749c8b77c9f0bb9da60792021-12-01T20:05:23ZOptimal Dispatch of Multi-Energy Integrated Micro-Energy Grid: A Model Predictive Control Method2296-598X10.3389/fenrg.2021.766012https://doaj.org/article/5a3cf138b31749c8b77c9f0bb9da60792021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fenrg.2021.766012/fullhttps://doaj.org/toc/2296-598XIn order to reduce the impacts caused by large-scale renewable energy resources accessing 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 this, the uncertainties of renewable energy resources and cold/heat/electricity loads are considered, and the optimal dispatch problem of the micro-energy system is established from day-ahead and real-time time scales based on a model predictive control method. The day-ahead optimal scheduling aims at economic optimization and guides real-time scheduling, and real-time scheduling utilizes rolling optimization and a feedback correction mechanism to effectively correct the deviation of renewable energy generations and loads at a real-time horizon, which improves the optimization control accuracy, follows the day-ahead dispatch plan, and ensures the economics of real-time scheduling at the same time.Xurui HuangBo YangFengyuan YuJun PanQin XuWanxin XuFrontiers Media S.A.articlemicro energy gridoptimal dispatchuncertaintymodel predictive controlrolling optimizationGeneral WorksAENFrontiers in Energy Research, Vol 9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	micro energy grid optimal dispatch uncertainty model predictive control rolling optimization General Works A
spellingShingle	micro energy grid optimal dispatch uncertainty model predictive control rolling optimization General Works A Xurui Huang Bo Yang Fengyuan Yu Jun Pan Qin Xu Wanxin Xu Optimal Dispatch of Multi-Energy Integrated Micro-Energy Grid: A Model Predictive Control Method
description	In order to reduce the impacts caused by large-scale renewable energy resources accessing 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 this, the uncertainties of renewable energy resources and cold/heat/electricity loads are considered, and the optimal dispatch problem of the micro-energy system is established from day-ahead and real-time time scales based on a model predictive control method. The day-ahead optimal scheduling aims at economic optimization and guides real-time scheduling, and real-time scheduling utilizes rolling optimization and a feedback correction mechanism to effectively correct the deviation of renewable energy generations and loads at a real-time horizon, which improves the optimization control accuracy, follows the day-ahead dispatch plan, and ensures the economics of real-time scheduling at the same time.
format	article
author	Xurui Huang Bo Yang Fengyuan Yu Jun Pan Qin Xu Wanxin Xu
author_facet	Xurui Huang Bo Yang Fengyuan Yu Jun Pan Qin Xu Wanxin Xu
author_sort	Xurui Huang
title	Optimal Dispatch of Multi-Energy Integrated Micro-Energy Grid: A Model Predictive Control Method
title_short	Optimal Dispatch of Multi-Energy Integrated Micro-Energy Grid: A Model Predictive Control Method
title_full	Optimal Dispatch of Multi-Energy Integrated Micro-Energy Grid: A Model Predictive Control Method
title_fullStr	Optimal Dispatch of Multi-Energy Integrated Micro-Energy Grid: A Model Predictive Control Method
title_full_unstemmed	Optimal Dispatch of Multi-Energy Integrated Micro-Energy Grid: A Model Predictive Control Method
title_sort	optimal dispatch of multi-energy integrated micro-energy grid: a model predictive control method
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/5a3cf138b31749c8b77c9f0bb9da6079
work_keys_str_mv	AT xuruihuang optimaldispatchofmultienergyintegratedmicroenergygridamodelpredictivecontrolmethod AT boyang optimaldispatchofmultienergyintegratedmicroenergygridamodelpredictivecontrolmethod AT fengyuanyu optimaldispatchofmultienergyintegratedmicroenergygridamodelpredictivecontrolmethod AT junpan optimaldispatchofmultienergyintegratedmicroenergygridamodelpredictivecontrolmethod AT qinxu optimaldispatchofmultienergyintegratedmicroenergygridamodelpredictivecontrolmethod AT wanxinxu optimaldispatchofmultienergyintegratedmicroenergygridamodelpredictivecontrolmethod
_version_	1718404575706218496

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

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