公开(公告)号：US20220405844A1

公开(公告)日：2022-12-22

申请号：US17893405

申请日：2022-08-23

Applicant: Hefei University of Technology

Inventor： Kaile ZHOU ,  Hengheng XING ,  Dingding HU ,  Zenghui ZHANG

IPC: G06Q40/04 ,  H02J3/38

Abstract: A method, a system, a storage medium and an electronic device for peer-to-peer electricity trading based on a double-layer blockchain. Provided herein relates to electricity trading. This application includes a bulk grid blockchain and a plurality of microgrid blockchains and puts forward a double-layer blockchain technology. The energy consumption plan or the energy supply plan of the trading subjects shall preferentially perform a first power dispatching-matching and a second power dispatching-matching on the microgrid blockchain, and the unsatisfied energy consumption plan or the remaining energy supply plan is uploaded to large power grid blockchain for a third power dispatching-matching.

公开(公告)号：US20220024338A1

公开(公告)日：2022-01-27

申请号：US17490145

申请日：2021-09-30

Applicant: Hefei University of Technology

Inventor： Kaile ZHOU ,  Dingding HU ,  Lanlan LI ,  Xinhui LU ,  Zhineng FEI

IPC: B60L53/63 ,  G06N20/00 ,  B60L53/66

Abstract: The invention provided an electric vehicle charging scheduling method, apparatus and system based on cloud-edge collaboration, a storage medium and an electronic device. In the present invention, a charging request of an electric vehicle user is accepted and processed by an edge computing unit, and a target charging station for a to-be-charged electric vehicle is determined with a minimum traveling cost as a target, so that a data transmission distance is reduced, and the electric vehicle user is timely assisted in selecting the target charging station and completing a charging appointment. After the charging appointment is made, charging data is uploaded to a charging optimization scheduling model pre-trained by a cloud platform for obtaining an electric vehicle charging scheduling strategy, so that powerful cloud platform computing abilities and rapid response advantages of the edge computing unit are fully utilized, the problem of network congestion is avoided, and timeliness is improved.