Bidding Strategy for VPP Incorporating Price Market and Solar Generation Uncertainties using Information Gap Decision Theory

被引：0

作者：

Maceas Henao, Michelle ^{[1
]}

Espinosa Oviedo, Jairo ^{[1
]}

Isaac Milan, Idi ^{[2
]}

机构：

[1] Univ Nacl Colombia, Fac Minas, Medellin, Colombia

[2] Univ Pontificia Bolivariana, Dept Ingn Elect, Medellin, Colombia

来源：

2021 9TH INTERNATIONAL CONFERENCE ON SMART GRID, ICSMARTGRID | 2021年

关键词：

IGDT; VPP; bidding strategy; market price uncertainty; solar generation uncertainty; ENERGY;

D O I：

10.1109/ICSMARTGRID52357.2021.9551261

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

This paper considers a virtual power plant (VPP) that seeks to maximize profit through participation in the day-ahead market and included an information gap decision theory (IGDT) to model price market and renewable generation uncertainties. The IGDT is a non-probabilistic technique that model the uncertainties considering the risk aversion and the opportunity to obtain higher profits under several uncertainties. The proposed method is implemented in a case study in which the contemplated uncertainties are analyzed to determine the most influencing on the expected benefits of the VPP.

引用

页码：143 / 148

页数：6

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