Digital twin modeling and multi-agent coordination control method for intelligent micro-grid

A multi-agent, coordinated control technology, applied in the field of digital twins, can solve complex problems
CN113221456APending Publication Date: 2021-08-06SHANGHAI JIAO TONG UNIV

Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
SHANGHAI JIAO TONG UNIV
Publication Date
2021-08-06

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Abstract

The invention discloses a digital twin modeling and multi-agent coordination control method for an intelligent micro-grid, and relates to the technical field of digital twinning. A digital twin and multi-agent technology is utilized to research intelligent micro-grid modeling simulation and operation control, and a multi-communication protocol interactive intelligent micro-grid digital twinning and multi-agent control framework is designed; in consideration of a physical space, a digital space and a coupling relationship, task decomposition is performed on a full life cycle management process of the smart micro-grid, and a regulation and control resource agent, a regulation and control process agent and a regulation and control service agent are constructed.
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Description

technical field

[0001] The invention relates to the technical field of digital twins, in particular to a digital twin modeling and multi-agent coordination control method for a smart microgrid. Background technique

[0002] In recent years, with the widespread application of emerging hot technologies such as cloud computing, artificial intelligence, and big data, the digitalization of the energy industry has become increasingly high. How to monitor and utilize the massive panoramic information obtained from physical equipment, such as load, weather, electrical heat multi-energy flow, equipment operation, etc., has brought new challenges to the operation and management of smart energy systems. With the increasing amount of panoramic information such as load, weather, equipment, electricity / gas / heat multi-energy flow in power system operation, it is difficult for traditional power system modeling and simulation technology to meet the needs of future smart energy system operati...

Claims

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