Volume 10, Issue 2 (June 2014)                   IJEEE 2014, 10(2): 114-123 | Back to browse issues page

XML Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Zakariazadeh A, Jadid S. Integrated Scheduling of Electric Vehicles and Demand Response Programs in a Smart Microgrid. IJEEE 2014; 10 (2) :114-123
URL: http://ijeee.iust.ac.ir/article-1-585-en.html
Integrated Scheduling of Electric Vehicles and Demand Response Programs in a Smart Microgrid
A. Zakariazadeh , Sh. Jadid
Abstract:   (5176 Views)
Microgrid (MG) is one of the important blocks in the future smart distribution systems. The scheduling pattern of MGs affects distribution system operation. Also, the optimal scheduling of MGs will be result in reliable and economical operation of distribution system. In this paper, an operational planning model of a MG which considers multiple demand response (DR) programs is proposed. In the proposed approach, all types of loads can participate in demand response programs which will be considered in either energy or reserve scheduling. Also, the renewable distributed generation uncertainty is covered by reserve prepared by both DGs and loads. The novelty of this paper is the demand side participation in energy and reserve scheduling, simultaneously. Furthermore the energy and reserve scheduling is proposed for day-ahead and real-time. The proposed model was tested on a typical MG system in connected mode and the results show that running demand response programs will reduce total operation cost of MG and cause more efficient use of resources.
Keywords: Microgrid , Demand Response , Renewable Generation , Operation , Reserve
Full-Text [PDF 502 kb]   (4135 Downloads)    
Type of Study: Research Paper | Subject: Distributed Generation
Received: 2013/05/26 | Revised: 2014/06/23 | Accepted: 2014/06/23
Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Creative Commons License
© 2022 by the authors. Licensee IUST, Tehran, Iran. This is an open access journal distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.