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An optimal pricing scheme in electricity markets by parallelizing security constrained optimal power flow based market-clearing model

Authors
Kim, M. K.Hur, D.
Issue Date
Jun-2013
Publisher
ELSEVIER SCI LTD
Keywords
Benders decomposition; Bilateral transaction; Locational marginal price (LMP); Market-clearing model; Nodal congestion price (NCP); Security constrained optimal power flow
Citation
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, v.48, pp 161 - 171
Pages
11
Journal Title
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
Volume
48
Start Page
161
End Page
171
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/61055
DOI
10.1016/j.ijepes.2012.05.047
ISSN
0142-0615
1879-3517
Abstract
To improve economic efficiency of electricity markets, the market-clearing model must be designed to give transparent information for pricing system security and to quantify the correlation between the market operations and the power systems operations, which is an immensely provocative and challenging issue in electricity markets. This paper sets out to propose a novel approach to pricing the system security by parallelizing the security constrained optimal power flow (SCOPF) based market-clearing model, while providing market solutions as a function of complying with the required voltage security margin and N-1 contingency criteria. The proposed SCOPF based market-clearing framework also takes into consideration the bilateral transaction information and, at the same time, optimal pricing expressions through computing locational marginal prices (LMPs) and nodal congestion prices (NCPs) for ensuring voltage security are derived. The results from a 129-bus model of the Italian HV transmission system turn out to be the validity of the proposed market-clearing model for managing and pricing the system security. (c) 2012 Elsevier Ltd. All rights reserved.
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Kim, Mun-Kyeom
공과대학 (에너지시스템 공학부)
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