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
收藏
页码：143 / 148
页数：6
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