Energy Internet System Research Based on Development Trend of Urban Energy System

Chai, Yufeng; Bai, Cuifen; Zhang, Chen; Han, Xiaoyan; Dai, Xianzhong; Jin, Xiaoling

doi:10.1109/ei247390.2019.9062012

Cited by 5 publications

(1 citation statement)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In recent years, a large number of research on Energy Internet has provided new directions for solving the inherent defects of the Energy Internet. Paper [9] established the relationship between urban development and urban energy system through the improved LEAP model. According to the development trend of urban energy system, the connotation, composition and framework of urban energy internet are pointed out.…”

Section: Related Workmentioning

confidence: 99%

A Blockchain-based Trading Matching Scheme in Energy Internet

Lü

Guan

2020

Proceedings of the 2nd ACM International Symposium on Blockchain and Secure Critical Infrastructure

View full text Add to dashboard Cite

With the advent of the Industry 4.0 era, the energy industry system revolution will also face new challenges. Against the backdrop of the global energy crisis, renewable energy has received great attention from countries around the world. Due to the characteristics of geographical dispersion, randomness, volatility and uncontrollability of renewable energy, the centralized traditional electrical energy networks cannot meet the management requirements of large-scale access to renewable energy. The emergence of the energy internet has enabled the effective use of renewable energy. As a distributed trading and data management technology, blockchain solves the problem of distributed electrical energy trading in the energy Internet. However, the distributed energy trading based on blockchain cannot satisfy the rational matching of trading objects. Therefore, we propose a blockchain-based electrical energy trading system BC-TMS Blockchain-based trading matching system, which can reasonably match trading objects according to the user's personalized needs and maximize the benefits of both parties to the trading. At the same time, the system also provides a certain degree of privacy protection. Finally, through security and application prospect analysis, we prove the usability and practicability of our proposed scheme.

show abstract

Section: Related Workmentioning

confidence: 99%