Heuristic approaches for a domestic energy management system. (July 2017)

• Record Type: Journal Article
• Authors: Della Croce, Federico; Garraffa, Michele; Salassa, Fabio; Borean, Claudio; Di Bella, Giuseppe; Grasso, Ennio
• Is Part Of: Computers & industrial engineering. Volume 109(2017)
• Page Start: 169
• Page End: 178
• Publication Date: 2017-07
• Subjects: Energy scheduling -- Heuristics -- Integer programming; Engineering -- Data processing -- Periodicals; Industrial engineering -- Periodicals; 620.00285
• DOI: 10.1016/j.cie.2017.05.003
• Languages: English
• ISSNs: 0360-8352

Abstract

Highlights: The problem of scheduling smart home appliances within a given time horizon is considered. Several heuristic approaches are proposed. The best results are obtained by means of a matheuristic procedure. Problems with up to 50 appliances are solved. Abstract: In the context of smart buildings, house energy consumption plays a significant role in the energy system. Since there are different billing rates, the aim of the smart grid system is to minimize the overall energy cost by appropriately selecting the best starting times for each household appliance. Further, the scheduler should guarantee that the instant energy request does not overcome the maximum threshold which depends on the customers contract. Although the maximum threshold is a constant, the instant energy consumption may possibly exceed this value, whenever is available some renewable source such as, for instance, solar energy. In this work, we consider the problem of scheduling smart home appliances within a given time horizon respecting the threshold on the energy peak consumption with the objective of minimizing the overall cost related to the average energy consumption of each appliance at each time instant. A hybrid heuristic based on a mixed integer programming formulation of the problem and a particle swarm optimization approach are proposed. Computational results, applying these approaches to real life data are provided and discussed.