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An Optimization Model for the Aggregation of End-user Energy Management Systems in a Residential Setting

Topics: Energy Management Systems (EMS); Evolutionary Algorithms in Energy Applications; Optimization Techniques for Efficient Energy Consumption; Scheduling and Switching Power Supplies; Virtual Power Plants; Virtualization for Reducing Power Consumption

Authors: Andreia M. Carreiro 1 ; Carlos Henggeler Antunes 2 and Humberto M. Jorge 2

Affiliations: 1 INESC Coimbra, Portugal ; 2 INESC Coimbra and University of Coimbra, Portugal

ISBN: 978-989-758-025-3

Keyword(s): Energy Management Systems, Energy Box Aggregator, End-user Flexibility, Genetic Algorithms.

Related Ontology Subjects/Areas/Topics: Energy and Economy ; Energy Management Systems (EMS) ; Energy-Aware Systems and Technologies ; Evolutionary Algorithms in Energy Applications ; Optimization Techniques for Efficient Energy Consumption ; Scheduling and Switching Power Supplies ; Virtual Power Plants ; Virtualization for Reducing Power Consumption

Abstract: This paper proposes a model for an aggregator of energy management systems (energy box aggregator - EBAg) to operate as an intermediary between individual energy management systems (local energy boxes) and the System Operator / Energy Market capable of facilitating a “load follows supply” strategy in a Smart Grid context. The EBAg is aimed at using the flexibility provided by end-users of demand-side resources to respond to system service requirements, via contracts, involving lowering or increasing the energy consumption in each time slot. The aim is contributing to the balance between load and supply, avoiding peaks in the aggregate load diagram, and coping with the intermittency of renewable sources. For this purpose an optimization model for the EBAg has been developed, which is tackled using a genetic algorithm based approach to deal with the combinatorial characteristics of the model.

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Paper citation in several formats:
M. Carreiro, A.; Antunes, C. and M. Jorge, H. (2014). An Optimization Model for the Aggregation of End-user Energy Management Systems in a Residential Setting.In Proceedings of the 3rd International Conference on Smart Grids and Green IT Systems - Volume 1: SMARTGREENS, ISBN 978-989-758-025-3, pages 191-197. DOI: 10.5220/0004960101910197

@conference{smartgreens14,
author={Andreia M. Carreiro. and Carlos Henggeler Antunes. and Humberto M. Jorge.},
title={An Optimization Model for the Aggregation of End-user Energy Management Systems in a Residential Setting},
booktitle={Proceedings of the 3rd International Conference on Smart Grids and Green IT Systems - Volume 1: SMARTGREENS,},
year={2014},
pages={191-197},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004960101910197},
isbn={978-989-758-025-3},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Smart Grids and Green IT Systems - Volume 1: SMARTGREENS,
TI - An Optimization Model for the Aggregation of End-user Energy Management Systems in a Residential Setting
SN - 978-989-758-025-3
AU - M. Carreiro, A.
AU - Antunes, C.
AU - M. Jorge, H.
PY - 2014
SP - 191
EP - 197
DO - 10.5220/0004960101910197

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