Assessing the Value of Demand Response in Microgrids

This paper presents a computer application to assist in decisions about sustainability enhancement due to the effect of shifting demand from less favorable periods to periods that are more convenient for the operation of a microgrid. Specifically, assessing how the decisions affect the economic part...

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Main Authors: Isaías Gomes, Rui Melicio, Victor M. F. Mendes
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Sustainability
Subjects:
Online Access:https://www.mdpi.com/2071-1050/13/11/5848
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spelling doaj-0f3f078da9ec4e28bb857ebbc0da53552021-06-01T00:50:32ZengMDPI AGSustainability2071-10502021-05-01135848584810.3390/su13115848Assessing the Value of Demand Response in MicrogridsIsaías Gomes0Rui Melicio1Victor M. F. Mendes2IDMEC, Instituto de Engenharia Mecânica, Universidade de Lisboa, 1049-001 Lisboa, PortugalIDMEC, Instituto de Engenharia Mecânica, Universidade de Lisboa, 1049-001 Lisboa, PortugalCISE, Electromechatronic Systems Research Centre, Universidade da Beira Interior, 6201-001 Covilhã, PortugalThis paper presents a computer application to assist in decisions about sustainability enhancement due to the effect of shifting demand from less favorable periods to periods that are more convenient for the operation of a microgrid. Specifically, assessing how the decisions affect the economic participation of the aggregating agent of the microgrid bidding in an electricity day-ahead market. The aggregating agent must manage microturbines, wind systems, photovoltaic systems, energy storage systems, and loads, facing load uncertainty and further uncertainties due to the use of renewable sources of energy and participation in the day-ahead market. These uncertainties cannot be removed from the decision making, and, therefore, require proper formulation, and the proposed approach customizes a stochastic programming problem for this operation. Case studies show that under these uncertainties and the shifting of demand to convenient periods, there are opportunities to make decisions that lead to significant enhancements of the expected profit. These enhancements are due to better bidding in the day-ahead market and shifting energy consumption in periods of favorable market prices for exporting energy. Through the case studies it is concluded that the proposed approach is useful for the operation of a microgrid.https://www.mdpi.com/2071-1050/13/11/5848microgriddemand responsestochastic programmingenergy managementrenewable energy
collection DOAJ
language English
format Article
sources DOAJ
author Isaías Gomes
Rui Melicio
Victor M. F. Mendes
spellingShingle Isaías Gomes
Rui Melicio
Victor M. F. Mendes
Assessing the Value of Demand Response in Microgrids
Sustainability
microgrid
demand response
stochastic programming
energy management
renewable energy
author_facet Isaías Gomes
Rui Melicio
Victor M. F. Mendes
author_sort Isaías Gomes
title Assessing the Value of Demand Response in Microgrids
title_short Assessing the Value of Demand Response in Microgrids
title_full Assessing the Value of Demand Response in Microgrids
title_fullStr Assessing the Value of Demand Response in Microgrids
title_full_unstemmed Assessing the Value of Demand Response in Microgrids
title_sort assessing the value of demand response in microgrids
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2021-05-01
description This paper presents a computer application to assist in decisions about sustainability enhancement due to the effect of shifting demand from less favorable periods to periods that are more convenient for the operation of a microgrid. Specifically, assessing how the decisions affect the economic participation of the aggregating agent of the microgrid bidding in an electricity day-ahead market. The aggregating agent must manage microturbines, wind systems, photovoltaic systems, energy storage systems, and loads, facing load uncertainty and further uncertainties due to the use of renewable sources of energy and participation in the day-ahead market. These uncertainties cannot be removed from the decision making, and, therefore, require proper formulation, and the proposed approach customizes a stochastic programming problem for this operation. Case studies show that under these uncertainties and the shifting of demand to convenient periods, there are opportunities to make decisions that lead to significant enhancements of the expected profit. These enhancements are due to better bidding in the day-ahead market and shifting energy consumption in periods of favorable market prices for exporting energy. Through the case studies it is concluded that the proposed approach is useful for the operation of a microgrid.
topic microgrid
demand response
stochastic programming
energy management
renewable energy
url https://www.mdpi.com/2071-1050/13/11/5848
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