On computational issues of market-based optimal power flow

被引:214
作者
Wang, Hongye [1 ]
Murillo-Sanchez, Carlos E.
Zimmerman, Ray D.
Thomas, Robert J.
机构
[1] Cornell Univ, Sch Elect & Comp Engn, Ithaca, NY 14850 USA
[2] Univ Autonoma Manizales, Manizales, Colombia
基金
美国国家科学基金会;
关键词
augmented Lagrangian method; constrained cost variable; economic dispatch; electricity market; market-based optimal power flow; multiplier method; nonsmooth optimization; optimal power flow; primal-dual interior point method; step-controlled interior point method; trust region method;
D O I
10.1109/TPWRS.2007.901301
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
The deregulated electricity market calls for robust optimal power flow (OPF) tools that can provide a) deterministic convergence; b) accurate computation of nodal prices; c) support of both smooth and nonsmooth costing of a variety of resources and services, such as real energy, reactive energy, voltages support, etc.; d) full active and reactive power flow modeling of large-scale systems; and e) satisfactory worst-case performance that meets the real-time dispatching requirement. Most prior research on OPF has focused on performance issues in the context of regulated systems, without giving much emphasis to requirements a)-c). This paper discusses the computational challenges brought up by the deregulation and attempts to address them through the introduction of new OPF formulations and algorithms. Trust-region-based augmented Lagrangian method (TRALM), step-controlled primal-dual interior point method (SCIPM), and constrained cost variable (CCV) OPF formulation are proposed. The new formulations and algorithms, along with several existing ones, are tested and compared using large-scale power system models.
引用
收藏
页码:1185 / 1193
页数:9
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