Stochastic unit commitment in microgrids based on model predictive control

This article deals with the problem of Stochastic Unit Commitment (SUC), considering the stochastic nature of demand and meteorological phenomena. This paper shows the optimal operation of a hybrid microgrid composed of the following generation units: wind turbine (WT), photovoltaic solar panel (PV)...

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Main Authors:	Lazaro Alvarado Barrios, Juan Boza Valerino, Alvaro Rodriguez del Nozal, Juan Manuel Escano, Jose L. Martinez-Ramos, Francisco Gonzalez-Longatt
Format:	Default Conference proceeding
Published:	2018
Subjects:	Mechanical engineering not elsewhere classified Stochastic unit commitment Model predictive control Microgrid Mechanical Engineering not elsewhere classified
Online Access:	https://hdl.handle.net/2134/34519
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id	rr-article-9556757
record_format	Figshare
spelling	rr-article-95567572018-01-01T00:00:00Z Stochastic unit commitment in microgrids based on model predictive control Lazaro Alvarado Barrios (7210109) Juan Boza Valerino (7210112) Alvaro Rodriguez del Nozal (7210115) Juan Manuel Escano (7210118) Jose L. Martinez-Ramos (7210121) Francisco Gonzalez-Longatt (1249602) Mechanical engineering not elsewhere classified Stochastic unit commitment Model predictive control Microgrid Mechanical Engineering not elsewhere classified This article deals with the problem of Stochastic Unit Commitment (SUC), considering the stochastic nature of demand and meteorological phenomena. This paper shows the optimal operation of a hybrid microgrid composed of the following generation units: wind turbine (WT), photovoltaic solar panel (PV), diesel engine generator (DE), micro-turbine (MT), as well as storage devices such as Battery Energy Storage (BES), considering its constraints and the requirements of the reserve generation. For this purpose, a Model-based Predictive Control (MPC), which uses dynamic models of prediction of renewable power and demand in real time, is developed, allowing feedback at each step of time, which corrects the uncertainty of the models. A comparison with a classic UC formulation has been made. The results reach a lower cost solution. 2018-01-01T00:00:00Z Text Conference contribution 2134/34519 https://figshare.com/articles/conference_contribution/Stochastic_unit_commitment_in_microgrids_based_on_model_predictive_control/9556757 CC BY-NC-ND 4.0
institution	Loughborough University
collection	Figshare
topic	Mechanical engineering not elsewhere classified Stochastic unit commitment Model predictive control Microgrid Mechanical Engineering not elsewhere classified
spellingShingle	Mechanical engineering not elsewhere classified Stochastic unit commitment Model predictive control Microgrid Mechanical Engineering not elsewhere classified Lazaro Alvarado Barrios Juan Boza Valerino Alvaro Rodriguez del Nozal Juan Manuel Escano Jose L. Martinez-Ramos Francisco Gonzalez-Longatt Stochastic unit commitment in microgrids based on model predictive control
description	This article deals with the problem of Stochastic Unit Commitment (SUC), considering the stochastic nature of demand and meteorological phenomena. This paper shows the optimal operation of a hybrid microgrid composed of the following generation units: wind turbine (WT), photovoltaic solar panel (PV), diesel engine generator (DE), micro-turbine (MT), as well as storage devices such as Battery Energy Storage (BES), considering its constraints and the requirements of the reserve generation. For this purpose, a Model-based Predictive Control (MPC), which uses dynamic models of prediction of renewable power and demand in real time, is developed, allowing feedback at each step of time, which corrects the uncertainty of the models. A comparison with a classic UC formulation has been made. The results reach a lower cost solution.
format	Default Conference proceeding
author	Lazaro Alvarado Barrios Juan Boza Valerino Alvaro Rodriguez del Nozal Juan Manuel Escano Jose L. Martinez-Ramos Francisco Gonzalez-Longatt
author_facet	Lazaro Alvarado Barrios Juan Boza Valerino Alvaro Rodriguez del Nozal Juan Manuel Escano Jose L. Martinez-Ramos Francisco Gonzalez-Longatt
author_sort	Lazaro Alvarado Barrios (7210109)
title	Stochastic unit commitment in microgrids based on model predictive control
title_short	Stochastic unit commitment in microgrids based on model predictive control
title_full	Stochastic unit commitment in microgrids based on model predictive control
title_fullStr	Stochastic unit commitment in microgrids based on model predictive control
title_full_unstemmed	Stochastic unit commitment in microgrids based on model predictive control
title_sort	stochastic unit commitment in microgrids based on model predictive control
publishDate	2018
url	https://hdl.handle.net/2134/34519
_version_	1797371446362636288

Stochastic unit commitment in microgrids based on model predictive control

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