计算机科学 ›› 2021, Vol. 48 ›› Issue (2): 23-32.doi: 10.11896/jsjkx.200900209

所属专题: 物联网技术 虚拟专题

• 新型分布式计算技术与系统* 上一篇    下一篇

电力物联网下分布式状态感知的源网荷储协同调度

王锡龙, 李鑫, 秦小麟   

  1. 南京航空航天大学计算机科学与技术学院 南京211106
  • 收稿日期:2020-09-29 修回日期:2020-12-02 出版日期:2021-02-15 发布日期:2021-02-04
  • 通讯作者: 李鑫(lics@nuaa.edu.cn)
  • 作者简介:cloudwxl@nuaa.edu.cn
  • 基金资助:
    国家自然科学基金青年基金项目(61802182)

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).

摘要: 随着新型发电、直流输电、电能存储等技术的发展,新能源发电、电动汽车等柔性负荷以及可充放电的储能装置不断并入电网中,使得传统配电网架构发生了巨大变化。由于新型源网荷储存在较大的不稳定性,给配电网调度带来了巨大挑战,尤其是难以控制调度的额外电损。借助泛在电力物联网的建设,可实现对源网荷储的实时信息采集与分析,为实时数据驱动的源网荷储协同调度提供了契机。配电网中的源网荷储协同具有天然的分布式特性,因此可以利用电力物联网的感知能力构建一个分布式状态实时感知系统,使得协同调度具有更高的调度精度。文中分析了泛在电力物联网背景下的配电网架构,对分布式环境下的源网荷储及其交互方式进行了建模,并据此提出了一种电力物联网下分布式状态感知的源网荷储协同调度机制,明确了源网荷储各端的响应策略,实现了削峰填谷、降低调度损耗的目标。基于部分电网真实数据,设计了模拟验证实验,其结果验证了源网荷储协同调度机制的有效性。

关键词: 泛在电力物联网, 分布式协同调度, 柔性负荷, 源网荷储, 主动配电网

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

中图分类号: 

  • TP391
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