Smart dispatching for energy internet with complex cyber‐physical‐social systems: A parallel dispatch perspective.

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Title: Smart dispatching for energy internet with complex cyber‐physical‐social systems: A parallel dispatch perspective.
Authors: Cheng, Lefeng1,2 (AUTHOR) chenglf_scut@163.com, Yu, Tao1,2 (AUTHOR) taoyu1@scut.edu.cn
Source: International Journal of Energy Research. 6/25/2019, Vol. 43 Issue 8, p3080-3133. 54p. 30 Diagrams, 2 Charts, 1 Graph.
Subjects: Parallel robots, Closed loop systems, Cyber physical systems, Swarm intelligence, Autonomous robots, Internet, Machine learning
Geographic Terms: China
Abstract: Summary: Energy internet (EI) is a complex coupled multienergy system; it is essential to investigate its multienergy dispatching optimization issues. To this end, this paper first proposes a novel conception of smart dispatching for EI with a complex cyber‐physical‐social system (CPSS) network from the perspective of parallel dispatch, called parallel dispatching robot (PDR), and investigates the implementations of PDR based on smart artificial society (SAS) modeling. First, we introduce EI and describe the dispatching issues of EI. Second, we discuss several important concepts supporting the parallel dispatch conception of EI, including knowledge automation (KA), CPSS, and parallel machine learning (PML). On the basis of these, we elaborate the concept of parallel dispatch. Moreover, we construct a large closed‐loop feedback control framework of parallel dispatch for EI integrating a CPSS network based on KA and PML. Third, we establish an experimental platform for PDR research based on the proposed parallel dispatch framework. Fourth, we develop the PML‐based SAS models of a single PDR in centralized dispatching modes and group PDRs in decentralized dispatching modes to achieve crowd wisdom emergence and performance improvement in current cyber‐physical system frameworks of EI. Moreover, we design an external global closed loop for PDR to evaluate its operation stability. Lastly, we conduct a detailed discussion on PDR and offer some prospects for its engineering implementations. The biggest innovation of this paper lies in systematically proposing the smart dispatching concept and framework for complex CPSS‐based EI from the perspective of parallel dispatch and thoroughly investigating how to use SAS modeling to implement parallel dispatching and control for EI considering human and social factors, which is a major extension and theoretical improvement to existing single smart wide area robot concept and a preliminary attempt in investigating a shift from Energy 4.0 to Energy 5.0 in China. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Energy Research is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Smart dispatching for energy internet with complex cyber‐physical‐social systems: A parallel dispatch perspective.
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  Data: <searchLink fieldCode="AR" term="%22Cheng%2C+Lefeng%22">Cheng, Lefeng</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> chenglf_scut@163.com</i><br /><searchLink fieldCode="AR" term="%22Yu%2C+Tao%22">Yu, Tao</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> taoyu1@scut.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Energy+Research%22">International Journal of Energy Research</searchLink>. 6/25/2019, Vol. 43 Issue 8, p3080-3133. 54p. 30 Diagrams, 2 Charts, 1 Graph.
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  Data: <searchLink fieldCode="DE" term="%22Parallel+robots%22">Parallel robots</searchLink><br /><searchLink fieldCode="DE" term="%22Closed+loop+systems%22">Closed loop systems</searchLink><br /><searchLink fieldCode="DE" term="%22Cyber+physical+systems%22">Cyber physical systems</searchLink><br /><searchLink fieldCode="DE" term="%22Swarm+intelligence%22">Swarm intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Autonomous+robots%22">Autonomous robots</searchLink><br /><searchLink fieldCode="DE" term="%22Internet%22">Internet</searchLink><br /><searchLink fieldCode="DE" term="%22Machine+learning%22">Machine learning</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22China%22">China</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Summary: Energy internet (EI) is a complex coupled multienergy system; it is essential to investigate its multienergy dispatching optimization issues. To this end, this paper first proposes a novel conception of smart dispatching for EI with a complex cyber‐physical‐social system (CPSS) network from the perspective of parallel dispatch, called parallel dispatching robot (PDR), and investigates the implementations of PDR based on smart artificial society (SAS) modeling. First, we introduce EI and describe the dispatching issues of EI. Second, we discuss several important concepts supporting the parallel dispatch conception of EI, including knowledge automation (KA), CPSS, and parallel machine learning (PML). On the basis of these, we elaborate the concept of parallel dispatch. Moreover, we construct a large closed‐loop feedback control framework of parallel dispatch for EI integrating a CPSS network based on KA and PML. Third, we establish an experimental platform for PDR research based on the proposed parallel dispatch framework. Fourth, we develop the PML‐based SAS models of a single PDR in centralized dispatching modes and group PDRs in decentralized dispatching modes to achieve crowd wisdom emergence and performance improvement in current cyber‐physical system frameworks of EI. Moreover, we design an external global closed loop for PDR to evaluate its operation stability. Lastly, we conduct a detailed discussion on PDR and offer some prospects for its engineering implementations. The biggest innovation of this paper lies in systematically proposing the smart dispatching concept and framework for complex CPSS‐based EI from the perspective of parallel dispatch and thoroughly investigating how to use SAS modeling to implement parallel dispatching and control for EI considering human and social factors, which is a major extension and theoretical improvement to existing single smart wide area robot concept and a preliminary attempt in investigating a shift from Energy 4.0 to Energy 5.0 in China. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Energy Research is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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        Value: 10.1002/er.4384
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        Text: English
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        PageCount: 54
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    Subjects:
      – SubjectFull: Parallel robots
        Type: general
      – SubjectFull: Closed loop systems
        Type: general
      – SubjectFull: Cyber physical systems
        Type: general
      – SubjectFull: Swarm intelligence
        Type: general
      – SubjectFull: Autonomous robots
        Type: general
      – SubjectFull: Internet
        Type: general
      – SubjectFull: Machine learning
        Type: general
      – SubjectFull: China
        Type: general
    Titles:
      – TitleFull: Smart dispatching for energy internet with complex cyber‐physical‐social systems: A parallel dispatch perspective.
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            NameFull: Cheng, Lefeng
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            NameFull: Yu, Tao
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            – D: 25
              M: 06
              Text: 6/25/2019
              Type: published
              Y: 2019
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