DocumentCode
2387406
Title
Virtual peak plant concepts of Demand Response
Author
Kwag, Hyung-Geun ; Kim, Young-Hyun ; Kim, Jin-O
Author_Institution
Electr. Eng., Hanyang Univ., Seoul, South Korea
fYear
2012
fDate
19-20 May 2012
Firstpage
614
Lastpage
618
Abstract
Demand Response (DR) extends customer participation on power system and brings about a paradigm shift from simplex to interactive operation in power system with the advancement of smart grid technology. Therefore it is important to model the characteristics of customers in DR, and this paper proposes customer information as registration and participation information of DR which are some indices to evaluate customer response such as DR magnitude, duration, frequency and marginal cost, and the customer response characteristics are modeled from this aggregated information. This paper also introduces a new concept of virtual generation resources with their marginal cost calculated in the same form as the conventional generation marginal cost according to customer information. Finally, some constraints of DR are manipulated and expressed using the information modeled in this paper with various status flags, and the optimal scheduling combined with generation and DR is proposed by minimizing the system operation cost including generation and DR cost, with the generation and DR constraints developed in this paper.
Keywords
power generation economics; power generation scheduling; smart power grids; DR constraints; DR cost; customer information; customer participation; customer response; customers characteristics; demand response; generation marginal cost; optimal scheduling; participation information; power system interactive operation; registration information; smart grid technology; status flags; virtual generation resources; virtual peak plant concepts; Cost function; Elasticity; Load management; Optimal scheduling; Power systems; Reliability; Time frequency analysis; Demand response; constraints; demand resources; demand response constraints; demand response scheduling; generation scheduling; optimal scheduling; power economics; power system;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems and Informatics (ICSAI), 2012 International Conference on
Conference_Location
Yantai
Print_ISBN
978-1-4673-0198-5
Type
conf
DOI
10.1109/ICSAI.2012.6223072
Filename
6223072
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