DocumentCode :
1760860
Title :
Distributed Real-Time Electricity Allocation Mechanism for Large Residential Microgrid
Author :
Tushar, Mosaddek H. K. ; Assi, Chadi ; Maier, Martin
Author_Institution :
Concordia Univ., Montreal, QC, Canada
Volume :
6
Issue :
3
fYear :
2015
fDate :
42125
Firstpage :
1353
Lastpage :
1363
Abstract :
To reduce greenhouse gas emissions, several incentives are given to use renewable energy sources (RES) and plug-in electrical vehicles (PEVs). By using PEVs for electricity storage and RES as distributed generators, microgrids (MG) become more reliable, stable, and cost-effective. However, the high intermittent nature of energy sources and unpredictable presence of PEV in the MG offers new technological challenges to the smart grid/MG energy management system (EMS). In this paper, we propose a new distributed real-time electricity allocation (DRTA) scheme for the smart grid/MG EMS whose objectives are to reduce the electricity bill of the residential customers, to increase the overall social benefit of smart MG/grid community, and to increase the energy efficiency and reliability of the MG to rely on locally generated electricity. We formulate the problem as a noncooperative game using mechanism design and solve it to optimality. The proposed DRTA scheme converges to an optimal Nash equilibrium and produces a near-optimal solution. We compare the proposed scheme with a centralized optimal electricity consumption scheme and to the solution obtained from unregulated (natural) scheduling framework.
Keywords :
air pollution control; distributed power generation; electric vehicles; energy conservation; energy management systems; game theory; incentive schemes; power consumption; power generation reliability; renewable energy sources; smart power grids; DRTA scheme; EMS; Nash equilibrium; PEV; RES; centralized optimal electricity consumption scheme; distributed generators; distributed real-time electricity allocation mechanism design; electricity bill reduction; electricity storage; energy efficiency; energy management system; energy reliability; greenhouse gas emission reduction; incentive schemes; large residential microgrid; near-optimal solution; noncooperative game; plug-in electric vehicles; renewable energy sources; residential customers; smart grid-MG; social benefit; unregulated scheduling framework; Electricity; Games; Home appliances; Load modeling; Real-time systems; Renewable energy sources; Smart meters; Distributed real-time allocation (DRTA); domestic appliances; game theory; integer programming; mechanism design; optimization; plug-in electrical vehicle (PEV); social benefit;
fLanguage :
English
Journal_Title :
Smart Grid, IEEE Transactions on
Publisher :
ieee
ISSN :
1949-3053
Type :
jour
DOI :
10.1109/TSG.2014.2375671
Filename :
6987341
Link To Document :
بازگشت