Authors:
Jing Wang
1
;
Jinshan Li
1
;
Jinlong Gao
2
;
Ning Su
1
;
Dong Zhao
2
and
Yanwen Wang
3
Affiliations:
1
State Grid Integrated Energy Service Group Co., Beijing, China
;
2
Cathay Green Energy Co., Zhangjiakou, China
;
3
State Power Rixin Technology Co.,Ltd, Beijing, China
Keyword(s):
Bidding Strategy, Power Plant, Electric Market, Big Data Technology.
Abstract:
In the process of information development, digitization, networking and intelligence are three parallel main lines. Digitalization lays the foundation, networking builds the platform and intelligence shows the ability, which can help human beings better understand complex things and solve difficult problems. Globally, it is becoming a trend to research and develop big data technology, use big data to promote economic development, improve social governance and improve government service. Generally speaking, people’s decision-making process usually includes three basic steps: recognizing the current situation, predicting the future and choosing strategies. According to the load big data analysis of the demand side users, the deep-seated application of predicting the future and guiding practice will become the focus of development. Firstly, we introduce the existing demand response models in detail, and then a two-stage bidding strategy is proposed to predict the future and optimize the
system operation in this paper. On the basis of massive data, this paper describes the demand response behavior of a large number of users, and then analyzes their bidding strategies. In the future, with the expansion of application fields, the improvement of technology and the improvement of the open mechanism of data sharing, predictive and guiding applications with greater potential value will be the focus of development.
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