Refined User Value-Added Services Based on Power Big Data and Demand Power Optimization Under Market Mechanism
Authors: 
Qiushuo Li, Tongjia Li, Xiaopeng Zhang, Shuo Wang, Xianzi Peicong, Dong LinAuthors Info & Claims
Qiushuo Li, Tongjia Li, Xiaopeng Zhang, Shuo Wang, Xianzi Peicong, Dong LinAuthors Info & ClaimsArticle No.: 34, Pages 1 - 6
Abstract
With the fast expansion of Internet technology and the gradual progression of information creation, value-added service technology has gradually penetrated other industries apart from mobile communication and the Internet, while in the realm of power systems, the related research of value-added service is few., the related research of value-added service is few. In this paper, a refined user value-added services based on power big data and demand power optimization under market mechanism is proposed. Firstly, the typical environment and user demand response to spot price scenarios are considered, and the two-stage optimization method is adopted to obtain user power utilization optimization results. Later, based on the user big data, classification and evaluation of power efficiency are conducted. Finally, power utilization suggestions and plans are provided to the user based on the classification and power optimization results. The case study results show that the proposed method can realize the demand side optimization and energy efficiency promotion and achieve the peak-load shifting output target, which provides a good reference demonstration for a market-oriented smart grid.
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Published In
October 2021
477 pages
ISBN:9781450386494
DOI:10.1145/3513142
Copyright © 2021 ACM.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 13 April 2022
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- Research-article
- Research
- Refereed limited
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- China Southern Power Grid Digital Power Grid Research Institute Co., Ltd.
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ICITEE2021
ICITEE2021: The 4th International Conference on Information Technologies and Electrical Engineering
October 29 - 31, 2021
Changde, Hunan, China
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