Dispatch Method of Industrial Demand Response Considering Uncertainty

被引:0
|
作者
Li, Mingxuan [1 ]
He, Dawei [2 ]
机构
[1] Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China
[2] Tsinghua Sichuan Energy Internet Res Inst, Chengdu 610299, Sichuan, Peoples R China
来源
IEEE INTERNET OF THINGS JOURNAL | 2024年 / 11卷 / 24期
关键词
Costs; Demand response; Load modeling; Uncertainty; Dispatching; Analytical models; Internet of Things; Demand response (DR); industrial load; operation optimization; response characteristics; LOAD MODELS; POWER; MICROGRIDS; FREQUENCY; ENERGY;
D O I
10.1109/JIOT.2024.3401469
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Industrial demand response (DR) is the main component of DR, but it is limited by various aspects, such as production operation and management, making it difficult to be optimized and utilized. The uncertainty of industrial DR is analyzed in this article, and a multi scenario generation method for the uncertainty of industrial resource group DR is proposed. Then, this article constructs corresponding optimization models for the main problems of industrial load aggregators participating in the power system DR in three stages, including the load aggregator day-ahead bidding optimization model, the system side day-ahead DR scheduling plan optimization model, and the load aggregator intraday operation optimization model. Finally, this article proposes a dispatch model of optimizing the response and operation of resource groups for multiscenario two-stage stochastic DR. The effectiveness of the proposed model is verified through simulation.
引用
收藏
页码:39195 / 39205
页数:11
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