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
2017
Volume4Issue:3Pages:466-482
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
Language英语
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/20317
Collection复杂系统管理与控制国家重点实验室_先进控制与自动化
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.
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