A Multi-market Collaborative Trading Model for Load Aggregator

被引:0
|
作者
Lv, Hao [1 ]
He, Yiming [1 ]
Hu, Linlin [2 ]
Chen, Siqi [3 ]
Ma, Runpeng [3 ]
Ma, Ninglu [3 ]
机构
[1] State Grid Hebei Elect Power Co, Control Ctr, Shijiazhuang, Hebei, Peoples R China
[2] State Grid Hebei Elect Power Co, Elect Power Res Inst, Shijiazhuang, Hebei, Peoples R China
[3] North China Elect Power Univ, Sch Elect & Elect Engn, Beijing, Peoples R China
关键词
load aggregator; energy market; auxiliary service market; offering and bidding strategic; OPTIMAL BIDDING STRATEGY; DEMAND RESPONSE; MECHANISM DESIGN;
D O I
10.1109/ICPSASIA58343.2023.10294764
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
Under the development mode of the new-type power system, a high proportion of renewable energy is connected to the grid, which makes it difficult to effectively support the safe and reliable supply of power and the safe and stable operation of the system by solely relying on flexible resources on the power supply side and power grid. It is urgent to guide flexible resources on the load side to actively participate in the system operation. As an emerging market entity, load aggregators can more effectively leverage the utility of the load side in system operation and market transactions by aggregating flexible load resources. Therefore, in this paper, load aggregator is used to aggregate load side resources to participate in electricity energy market and auxiliary service market. Firstly, it analyzes the framework for load aggregator to participate in diversified market transactions. Then, a combination model of load aggregator's multiple market collaborative transaction is proposed, which includes the transaction bidding model of load aggregator and the joint clearing model of energy and auxiliary service market. Finally, the verification analysis is carried out with a calculation example. The results show that the participation of load aggregator in multiple market transactions of energy and auxiliary service can increase its economic benefit, reduce system operating cost, and bring better economy and scheduling flexibility to system operation.
引用
收藏
页码:1235 / 1240
页数:6
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