Computer Science

Computer Science ›› 2021, Vol. 48 ›› Issue (2): 23-32.doi: 10.11896/jsjkx.200900209

Special Issue: Internet of Things

• New Distributed Computing Technologies and Systems • Previous Articles     Next Articles

Collaborative Scheduling of Source-Grid-Load-Storage with Distributed State Awareness UnderPower Internet of Things

WANG Xi-long, LI Xin, QIN Xiao-lin   

  1. College of Computer Science and Technology,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China
  • Received:2020-09-29 Revised:2020-12-02 Online:2021-02-15 Published:2021-02-04
  • About author:WANG Xi-long,born in 1998,postgra-duate.His main research interests include Internet of things and edge computing.
    LI Xin,born in 1987,Ph.D,associate professor,is a member of China Computer Federation.His main research interests include distributed computing and big data analysis.
  • Supported by:
    The National Natural Science Foundation of China Youth Fund Project (61802182).

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Abstract: With the development of new generation,direct-current transmission,electric energy storage and other technologies,flexible load such as new energy generation and electric vehicles and energy storage devices with charge-discharge ability are constantly integrated into the power grid,which makes the traditional distribution network architecture change greatly.Due to the great instability of the new type of source grid load storage,it brings great challenges to the distribution network dispatching,especially the extra power loss in scheduling which is difficult to control.With the construction of Ubiquitous Power Internet of Things (UPIoT),real-time information collection and data analysis of source grid load storage can be realized,which provides an opportunity for real-time data-driven collaborative scheduling of Source-Grid-Load-Storage.The collaborative scheduling of Source-Grid-Load-Storage in distribution network has a natural distributed characteristic.Therefore,a distributed state awareness system can be built which can bring low latency and high precision for the collaborative real-time scheduling of Source-Grid-Load-Storage.The distribution network structure under the background of UPIoT is analyzed in this paper,then the source grid load storage and their interaction methods in a distributed environment are modeled.This model is based on the premise that the feeder nodes have certain computing and communication capabilities,and it stipulates the data interaction method of all the nodes in entire distribution network,which can effectively reflect the effect of collaborative scheduling in the distribution network.A collaborative scheduling mechanism of Source-Grid-Load-Storage with distributed state awareness under Power Internet of Things is proposed,and the response strategy of each end of source grid load storage is defined in this paper,thus realizing the goal of peak load shifting and scheduling loss reduction.Based on some real data of the power grid,a simulation verification experiment is designed.The experimental results verify the effectiveness of the collaborative scheduling mechanism of Source-Grid-Load-Storage.

Key words: Active distribution network, Distributed collaborative scheduling, Flexible load, Source-Grid-Load-Storage, Ubiquitous Power Internet of Things

CLC Number: 

  • TP391
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