Distributed energy data management co-processing method and system based on block chain

A collaborative processing and data management technology, applied in digital data protection, information technology support systems, platform integrity maintenance, etc., can solve difficulties in ensuring data authenticity, supporting distributed energy system regulation, attack identification and defense difficulties, etc. problems, to achieve the effect of ensuring the coordination of distributed data resources

Pending Publication Date: 2022-08-05
ELECTRIC POWER RES INST OF STATE GRID ZHEJIANG ELECTRIC POWER COMAPNY
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  • Application Information

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Problems solved by technology

At the same time, distributed energy systems are vulnerable to external malicious attacks, and the decentralized structure makes it more difficult to identify and defend against attacks. Lack of trusted management for data storage, it is difficult to guarantee the aut

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  • Distributed energy data management co-processing method and system based on block chain
  • Distributed energy data management co-processing method and system based on block chain
  • Distributed energy data management co-processing method and system based on block chain

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specific Embodiment

[0125] Blockchain-based distributed energy data management collaborative processing method,

[0126] Include the following steps:

[0127] The first step is to build a distributed collection model in the communication gateway to collect data from the terminals of the distributed energy system;

[0128] The distributed acquisition model realizes strong identity certification of distributed energy system terminals based on trusted computing, realizes remote authentication by combining the oracle mechanism and blockchain system, and runs data measurement and evaluation algorithms in a trusted computing environment to complete data collection and filtering. task, and finally realize data collection and credibly upload it to the blockchain system to meet the needs of credible data sources and reliable data quality;

[0129] The second step is to build a trusted computing distributed sandbox to provide an isolated environment for the data in the first step;

[0130] The trusted co...

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Abstract

The invention discloses a distributed energy data management co-processing method and system based on a block chain, and belongs to the technical field of distributed energy data processing. According to the distributed energy data management co-processing method based on the block chain, the data of the distributed energy system terminal is acquired by constructing the distributed acquisition model, so that the credibility of data acquisition is ensured; a trusted computing distributed sandbox is constructed, an isolation environment is provided for data, and the trustworthiness of an operation environment is ensured; constructing a distributed data verification model, and performing credible verification on the isolated data to ensure that the off-chain data is not tampered or damaged; constructing a distributed data twinning model, and carrying out twinning convergence on the data so as to meet a refined optimization decision task; according to the optimization decision making task, a distributed optimization decision making contract model is constructed, the optimization decision making task is divided into micro-task services, cooperative processing of distributed energy data resources is completed, and the scheme is detailed and feasible.

Description

technical field [0001] The invention relates to a distributed energy data management collaborative processing method and system based on block chain, and belongs to the technical field of distributed energy data processing. Background technique [0002] There are three main management modes commonly used in distributed energy systems: centralized, decentralized and distributed. In the centralized management mode, the information of all control units is centralized and controlled to achieve the global optimum; in the decentralized control mode, the information of the control units does not interact and the goal is the individual optimum; The global optimization is achieved by mutual communication between adjacent control units. At the same time, the distributed energy system is vulnerable to malicious attacks from the outside, and the decentralized structure makes the identification and defense of attacks more difficult. For example, individual subjects can influence the res...

Claims

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Application Information

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IPC IPC(8): G06F21/53G06F21/64
CPCG06F21/53G06F21/64Y04S10/50
Inventor 颜拥李钟煦黄建平陈浩韩嘉佳孙歆姚影
Owner ELECTRIC POWER RES INST OF STATE GRID ZHEJIANG ELECTRIC POWER COMAPNY
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