Next Article in Journal
Study on Reaction Characteristics of Chemical-Looping Combustion between Maize Stalk and High Index Facet Iron Oxide
Next Article in Special Issue
A Statistical Framework for Automatic Leakage Detection in Smart Water and Gas Grids
Previous Article in Journal
Heat Transfer and Energy Performance of a PVA Wall Tile Containing Macro-Encapsulated PCM
Previous Article in Special Issue
Broadband PLC for Clustered Advanced Metering Infrastructure (AMI) Architecture
Article Menu
Issue 8 (August) cover image

Export Article

Open AccessArticle
Energies 2016, 9(8), 654;

An Algorithmic Game Approach for Demand Side Management in Smart Grid with Distributed Renewable Power Generation and Storage

Department of Industrial and Information Management, National Cheng Kung University, No. 1, University Road, Tainan City 701, Taiwan
Academic Editor: Neville R. Watson
Received: 2 May 2016 / Revised: 5 August 2016 / Accepted: 6 August 2016 / Published: 18 August 2016
(This article belongs to the Collection Smart Grid)
Full-Text   |   PDF [538 KB, uploaded 18 August 2016]   |  


In this paper, the problem of minimizing electricity cost and the peak system load in smart grids with distributed renewable energy resources is studied. Unlike prior research works that either assume all of the jobs are interruptible or power-shiftable, this paper focuses on more challenging scenarios in which jobs are non-interruptible and non-power-shiftable. In addition, as more and more newly-built homes have rooftop solar arrays, it is assumed that all users are equipped with a solar-plus-battery system in this paper. Thus, power can be drawn from the battery as needed to reduce the cost of electricity or to lower the overall system load. With a quadratic load-dependent cost function, this paper first shows that the electricity cost minimization problem in such a setting is NP-hard and presents a distributed demand-side management algorithm, called DDSM, to solve this. Experimental results show that the proposed DDSM algorithm is effective, scalable and converges to a Nash equilibrium in finite rounds. View Full-Text
Keywords: smart grid; renewable energy; scheduling; demand-side management smart grid; renewable energy; scheduling; demand-side management

Graphical abstract

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

Liu, R.-S. An Algorithmic Game Approach for Demand Side Management in Smart Grid with Distributed Renewable Power Generation and Storage. Energies 2016, 9, 654.

Show more citation formats Show less citations formats

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

Article Access Statistics



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