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Publication
From home energy management systems to communities energy managers: the use of an intelligent aggregator in a community in Algarve, Portugal
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Advisor(s)
Abstract(s)
This paper describes the development of community energy management systems (CEMS). A CEMS allows
optimal energy sharing within energy communities, as it is a central system that makes the global management of
the entire community. The proposed CEMS is based on mixed-integer linear programming (MILP), operating
under the receding horizon concept of Model Predictive Control (MPC). A systematic classification of electric
appliances, the use of external information such as weather information and energy prices, as well as the use of
intelligent forecasting techniques enables the proposed approach to achieve an excellent efficiency. It also allows
for an easy installation of as well as a smooth scaling with an increasing number of houses. The system is tested in
a real community in Algarve, Portugal. Different simulations are compared to experimental operation and
include cases with and without sharing of energy, different resources allocated to the houses considered, and the
use of different tariffs. CEMS formulations include sharing of energy without restriction, as well as employing
different allocation coefficients strategies. The results show that for the community under study when managed
by CEMS such as the one presented in this paper, it would result in significant cost reductions when compared to
the case where there is no energy community.
Description
Keywords
Community energy management systems Energy communities Model predictive control Mixed-integer linear programming Energy sharing
Citation
Publisher
Elsevier