Comfort-constrained Demand Flexibility Management for Building Aggregations using a Decentralized Approach

L. A. Hurtado, E. Mocanu, P. H. Nguyen, M. Gibescu, W. L. Kling

2015

Abstract

In the smart grid and smart city context, the energy end-user plays an active role in the operation of the power system. The rapid penetration of Renewable Energy Sources (RES) and Distributed Energy Resources (DER) requires a higher degree of flexibility on the demand side. As commercial and Industrial buildings (C&I) buildings represent a substantial aggregation of loads, the intertwined operation of the electric distribution network and the built environment is to large extent responsible for achieving energy efficiency and sustainability targets. However, the primary purpose of buildings is not grid support but rather ensuring the comfort and safety of its occupants. Therefore, the comfort level needs to be included as a constraint when assessing the flexibility potential of the built environment. This paper proposes a decentralized method for flexibility allocation among a set of buildings. The method uses concepts from non-cooperative game theory. Finally, two case of study are used to evaluate the performance of the decentralized algorithm, and compare it against a centralized option. It is shown that flexibility requests from the grid operator can be met without deteriorating the comfort levels.

Paper Citation

in Harvard Style

Hurtado L., Mocanu E., Nguyen P., Gibescu M. and Kling W. (2015). Comfort-constrained Demand Flexibility Management for Building Aggregations using a Decentralized Approach . In Proceedings of the 4th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS, ISBN 978-989-758-105-2, pages 157-166. DOI: 10.5220/0005444101570166

in Bibtex Style

@conference{smartgreens15,
author={L. A. Hurtado and E. Mocanu and P. H. Nguyen and M. Gibescu and W. L. Kling},
title={Comfort-constrained Demand Flexibility Management for Building Aggregations using a Decentralized Approach},
booktitle={Proceedings of the 4th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,},
year={2015},
pages={157-166},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005444101570166},
isbn={978-989-758-105-2},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,
TI - Comfort-constrained Demand Flexibility Management for Building Aggregations using a Decentralized Approach
SN - 978-989-758-105-2
AU - Hurtado L.
AU - Mocanu E.
AU - Nguyen P.
AU - Gibescu M.
AU - Kling W.
PY - 2015
SP - 157
EP - 166
DO - 10.5220/0005444101570166