Next Article in Journal
Comparative Study of Two Daylighting Analysis Methods with Regard to Window Orientation and Interior Wall Reflectance
Next Article in Special Issue
New Power Quality Analysis Method Based on Chaos Synchronization and Extension Neural Network
Previous Article in Journal
Evaluation of Mechanically and Adhesively Fixed External Insulation Systems Using Vacuum Insulation Panels for High-Rise Apartment Buildings
Article Menu

Export Article

Open AccessArticle
Energies 2014, 7(9), 5787-5824; doi:10.3390/en7095787

Optimization Models and Methods for Demand-Side Management of Residential Users: A Survey

Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Piazza Leonardo da Vinci, 32, Milano 20133, Italy
*
Author to whom correspondence should be addressed.
Received: 31 May 2014 / Revised: 5 August 2014 / Accepted: 25 August 2014 / Published: 4 September 2014
(This article belongs to the Special Issue Microgrids)
View Full-Text   |   Download PDF [1343 KB, uploaded 17 March 2015]   |  

Abstract

The residential sector is currently one of the major contributors to the global energy balance. However, the energy demand of residential users has been so far largely uncontrollable and inelastic with respect to the power grid conditions. With the massive introduction of renewable energy sources and the large variations in energy flows, also the residential sector is required to provide some flexibility in energy use so as to contribute to the stability and efficiency of the electric system. To address this issue, demand management mechanisms can be used to optimally manage the energy resources of customers and their energy demand profiles. A very promising technique is represented by demand-side management (DSM), which consists in a proactive method aimed at making users energy-efficient in the long term. In this paper, we survey the most relevant studies on optimization methods for DSM of residential consumers. Specifically, we review the related literature according to three axes defining contrasting characteristics of the schemes proposed: DSM for individual users versus DSM for cooperative consumers, deterministic DSM versus stochastic DSM and day-ahead DSM versus real-time DSM. Based on this classification, we provide a big picture of the key features of different approaches and techniques and discuss future research directions. View Full-Text
Keywords: demand-side management; optimization; deterministic optimization; stochastic optimization; residential users; devices scheduling; renewable sources; storage systems; electric energy market demand-side management; optimization; deterministic optimization; stochastic optimization; residential users; devices scheduling; renewable sources; storage systems; electric energy market
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Barbato, A.; Capone, A. Optimization Models and Methods for Demand-Side Management of Residential Users: A Survey. Energies 2014, 7, 5787-5824.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top