DocumentCode :
715080
Title :
Employing price-responsive PEVs in microgrid: Optimal operations and security management
Author :
Abedi, Sajjad ; Miao He ; Fatemi, Seyed Masoud
Author_Institution :
Electr. & Comput. Eng., Texas Tech Univ., Lubbock, TX, USA
fYear :
2015
fDate :
18-20 Feb. 2015
Firstpage :
1
Lastpage :
5
Abstract :
Penetration of Plug-in Electric Vehicles (PEVs) parking lots into distribution systems and microgrids offers useful decision tools for improving energy management and operations of power systems. In this paper, with an objective to minimize the operation cost while subject to the system, unit and security constraints, a microgrid energy management scheme is proposed, by taking into account PEVs throughout the grid as distributed storage responsive to the nodal prices. The presented method comprises the ex-ante optimal dispatch to minimize the anticipated operation cost, followed by a near real-time dispatch to manage the violation of security constraints regarding any congestion and voltage limit in the microgrid. The second dispatch, as recourse to the ex-ante dispatch, aims to minimize the operation cost and the deviation from the ex-ante dispatch decisions, while any possible binding constraint occurred in the ex-ante dispatch is mitigated. Simulation results on a test microgrid system demonstrate that the presented scheme can effectively ensure secure and economic operations of the microgrid as well as the risk reduction of the ex-ante decisions.
Keywords :
distributed power generation; electric vehicles; pricing; distributed storage; distribution system; ex-ante dispatch; microgrid energy management scheme; optimal operations; plug-in electric vehicles penetration; price-responsive PEV; security management; Aggregates; Economics; Energy management; Load flow; Microgrids; Real-time systems; Security; Plug-in Electric Vehicle (PEV); energy management; microgrid; nodal pricing; power system security; price-responsive demand;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Smart Grid Technologies Conference (ISGT), 2015 IEEE Power & Energy Society
Conference_Location :
Washington, DC
Type :
conf
DOI :
10.1109/ISGT.2015.7131779
Filename :
7131779
Link To Document :
بازگشت