Energies 2017, 10(7), 1049; https://doi.org/10.3390/en10071049
A Heuristic Algorithm to Compute Multimodal Criterial Function Weights for Demand Management in Residential Areas
CEITEC—Central European Institute of Technology, Brno University of Technology, Purkynova 656/123, 612 00 Brno, Czech Republic
†
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Received: 22 May 2017 / Revised: 29 June 2017 / Accepted: 12 July 2017 / Published: 20 July 2017
(This article belongs to the Section Electrical Power and Energy System)
Abstract
We present the conceptual design of a collective control scheme for appliances within a smart home. Based on the relevant energy acquisition procedures, three appliance groups are defined, modeled, and completed with an energy storage as well as a generator using renewable sources. At the following stage, a mixed quadratic optimization problem is presented, with the solution consisting in a time plan to regulate the operation of the individual devices. Importantly, the paper also proposes a heuristic algorithm securing consistent functionality of the computational process even despite the varying input and user conditions given in the receding horizon. View Full-TextKeywords:
demand response; building energy manager; quadratic optimization; thermal model; smart appliances
▼
Figures
Figure 1
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
Share & Cite This Article
MDPI and ACS Style
Kaczmarczyk, V.; Bradac, Z.; Fiedler, P. A Heuristic Algorithm to Compute Multimodal Criterial Function Weights for Demand Management in Residential Areas. Energies 2017, 10, 1049.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.
Related Articles
Article Metrics
Comments
[Return to top]
Energies
EISSN 1996-1073
Published by MDPI AG, Basel, Switzerland
RSS
E-Mail Table of Contents Alert