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

被引:15
作者
Kim, M. K. [1 ]
Hur, D. [2 ]
机构
[1] Dong A Univ, Dept Elect Engn, Pusan 604714, South Korea
[2] Kwangwoon Univ, Dept Elect Engn, Seoul 139701, South Korea
基金
新加坡国家研究基金会;
关键词
Benders decomposition; Bilateral transaction; Locational marginal price (LMP); Market-clearing model; Nodal congestion price (NCP); Security constrained optimal power flow; STOCHASTIC SECURITY; PART II; VOLTAGE; OPTIMIZATION;
D O I
10.1016/j.ijepes.2012.05.047
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
引用
收藏
页码:161 / 171
页数:11
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