Day-Ahead Self-Scheduling of a Transmission-Constrained GenCo With Variable Generation Units Using the Incomplete Market Information

被引：19

作者：

Renani, Yahya Kabiri ^{[1
]}

Ehsan, Mehdi ^{[1
]}

Shahidehpour, Mohammad ^{[2
]}

机构：

[1] Sharif Univ Technol, Dept Elect Engn, Ctr Excellence Management & Control Power Syst, Tehran 1136511155, Iran

[2] IIT, Robert W Galvin Ctr Elect Innovat, Chicago, IL 60616 USA

来源：

IEEE TRANSACTIONS ON SUSTAINABLE ENERGY | 2017年 / 8卷 / 03期

关键词：

GenCo's self-generation scheduling; renewables; forecast errors; transmission constraints; incomplete information; ROBUST OPTIMIZATION; ELECTRICITY; SYSTEMS;

D O I：

10.1109/TSTE.2017.2672690

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

In this paper, a self-generation scheduling method for a power generation company (GenCo) with renewable generation units is presented. In the proposed method, locational market prices (LMPs) are calculated using the incomplete information on competing market participants by simulating the ISO's market clearing program and considering the effect of physical limitations of transmission lines. The errors associated with forecasted LMP and renewable production are modeled in the GenCo's generation scheduling using a robust optimization approach. The scheduling problem is modeled as a mixed-integer linear programming which is solved by a CPLEX solver in GAMS. An eight-bus system is employed to illustrate the applications of the proposed method. The numerical results show the efficiency of proposed method to reduce the GenCo's financial risks pertaining to uncertain parameters in a competitive electricity market.

引用

页码：1260 / 1268

页数：9

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