Social Energy: Mining Energy From the Society
Jun Jason Zhang; David Wenzhong Gao; Yingchen Zhang; Xiao Wang; Xiangyang Zhao; Dongliang Duan; Xiaoxiao Dai; Jun Hao; Fei-Yue Wang
Source PublicationIEEE/CAA Journal of Automatica Sinica
AbstractThe inherent nature of energy, i.e., physicality, sociality and informatization, implies the inevitable and intensive interaction between energy systems and social systems. From this perspective, we define “social energy” as a complex sociotechnical system of energy systems, social systems and the derived artificial virtual systems which characterize the intense intersystem and intra-system interactions. The recent advancement in intelligent technology, including artificial intelligence and machine learning technologies, sensing and communication in Internet of Things technologies, and massive high performance computing and extreme-scale data analytics technologies, enables the possibility of substantial advancement in socio-technical system optimization, scheduling, control and management. In this paper, we provide a discussion on the nature of energy, and then propose the concept and intention of social energy systems for electrical power. A general methodology of establishing and investigating social energy is proposed, which is based on the ACP approach, i.e., “artificial systems” (A), “computational experiments” (C) and “parallel execution” (P), and parallel system methodology. A case study on the University of Denver (DU) campus grid is provided and studied to demonstrate the social energy concept. In the concluding remarks, we discuss the technical pathway, in both social and nature sciences, to social energy, and our vision on its future.
KeywordAcp Distribution Locational Marginal Pricing Intelligent Operation In Power Systems Parallel Control Parallel Intelligence Parallel Management Social Energy Socio-technical Energy Systems
Document Type期刊论文
AffiliationChinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Beijing 100864, Peoples R China
Recommended Citation
GB/T 7714
Jun Jason Zhang,David Wenzhong Gao,Yingchen Zhang,et al. Social Energy: Mining Energy From the Society[J]. IEEE/CAA Journal of Automatica Sinica,2017,4(3):466-482.
APA Jun Jason Zhang.,David Wenzhong Gao.,Yingchen Zhang.,Xiao Wang.,Xiangyang Zhao.,...&Fei-Yue Wang.(2017).Social Energy: Mining Energy From the Society.IEEE/CAA Journal of Automatica Sinica,4(3),466-482.
MLA Jun Jason Zhang,et al."Social Energy: Mining Energy From the Society".IEEE/CAA Journal of Automatica Sinica 4.3(2017):466-482.
Files in This Item: Download All
File Name/Size DocType Version Access License
Social Energy_Mining(31488KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Jun Jason Zhang]'s Articles
[David Wenzhong Gao]'s Articles
[Yingchen Zhang]'s Articles
Baidu academic
Similar articles in Baidu academic
[Jun Jason Zhang]'s Articles
[David Wenzhong Gao]'s Articles
[Yingchen Zhang]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Jun Jason Zhang]'s Articles
[David Wenzhong Gao]'s Articles
[Yingchen Zhang]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Social Energy_Mining Energy From the Society.pdf
Format: Adobe PDF
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.