DocumentCode
1758954
Title
Robust n–k contingency constrained unit commitment with ancillary service demand response program
Author
Aghaei, Jamshid ; Alizadeh, Mohammad-Iman
Author_Institution
Dept. of Electr. & Electron. Eng., Shiraz Univ. of Technol., Shiraz, Iran
Volume
8
Issue
12
fYear
2014
fDate
12 2014
Firstpage
1928
Lastpage
1936
Abstract
Today, many Independent System Operators (ISOs) establish programs to manipulate the reserve provided by Demand Response (DR) in ancillary service markets. In this study, Ancillary Service DR (ASDR) programs, recently introduced by Federal Energy Regulatory Commission, is integrated to an n-k Contingency Constrained Unit Commitment problem to investigate the capability of the DR Providers (DRPs), newly added ancillary market participants, in mitigating the impacts of simultaneous multiple contingencies in a power system. In the proposed model, an n-k security criterion by which power balance constraint is satisfied under any contingency state comprising simultaneous outages in generation units is investigated in the presence of the ASDR programs. Demand side reserve is supplied by DRPs, which have the responsibility of aggregating and managing customer responses to offer a bid-quantity to the ISO. The proposed formulation is a Mixed Integer Programming problem based on primal-dual optimisation, reported recently in literature. In addition, a detailed discussion about versatile effects of ASDR programs on n-k security criterion is presented to demonstrate the applicability of the proposed model.
Keywords
demand side management; integer programming; power generation dispatch; power generation scheduling; power markets; ASDR; DR providers; DRPs; ISOs; Independent System Operators; ancillary market participants; ancillary service DR program; ancillary service demand response program; bid-quantity; demand side reserve; generation units; mixed integer programming problem; n-k security criterion; power balance constraint; power system; primal-dual optimisation; robust n-k contingency constrained unit commitment problem;
fLanguage
English
Journal_Title
Generation, Transmission & Distribution, IET
Publisher
iet
ISSN
1751-8687
Type
jour
DOI
10.1049/iet-gtd.2014.0052
Filename
6985854
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