A Charging Coordination Method for Distributed Charging Piles Considering Local Voltage Amplitude and Cloud-Edge Collaboration

doi:10.12204/j.issn.1000-7229.2020.06.008

Abstract

Abstract: In order to solve the problems of harmonics， load peak-valley difference and network loss caused by centralized charging of a large number of charging piles in the distribution system， a coordination method for decentralized charging piles on the basis of local voltage amplitude and cloud-edge collaboration is proposed. Under the cloud-edge-end power Internet of Things architecture， firstly， using the history information on voltage amplitude of each end device （charging pile） to analyze the maximum power consumption information of each charging pile； then， through the edge computing ability of edge nodes （distribution and transformation terminals） in the power Internet of Things， collecting the data of charging piles and combining the user preference， energy cost and the historical route of electric vehicles. Finally， in the Hadoop cloud platform， the deep belief network （DBN） algorithm is used to train and predict the future load data， and the target optimization model is established. In addition， the performance of the proposed method in different scenarios is compared with that of the centralized charging coordination method. The experimental results show that the proposed method realizes the coordinated and orderly charging of a large number of decentralized charging piles， reduces the load fluctuation and the impact of charging load on the power grid.

Key words: local voltage amplitude, cloud edge coordination, decentralized charging pile, deep belief network（DBN）, load fluctuation

CLC Number:

TM 73

CHEN Mingqing，LI Jianlin. A Charging Coordination Method for Distributed Charging Piles Considering Local Voltage Amplitude and Cloud-Edge Collaboration[J]. Electric Power Construction, 2020, 41(6): 60-68.

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