Energy router modeled on basis of multiple intelligent agents and energy dispatching method thereof

A multi-agent and router technology, applied in circuit devices, electrical components, information technology support systems, etc., can solve the problems of not being able to well support personalized consumption, production, distribution and consumption separation

Active Publication Date: 2015-12-23
NORTHEASTERN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the intermittence and instability of renewable energy such as solar energy and wind energy and the current dual structure of power grid operation, prod

Method used

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  • Energy router modeled on basis of multiple intelligent agents and energy dispatching method thereof
  • Energy router modeled on basis of multiple intelligent agents and energy dispatching method thereof
  • Energy router modeled on basis of multiple intelligent agents and energy dispatching method thereof

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Example Embodiment

[0057] The specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0058] The present invention provides an energy router based on multi-agent modeling and an energy scheduling method thereof.

[0059] Energy router based on multi-agent modeling, such as figure 1 As shown, it includes an energy control unit 1, an energy transmission unit 2, an energy conversion unit 3, an energy storage unit 4, and a communication interface unit 5.

[0060] The energy control unit 1, implemented by a central computer, includes a scheduling optimization module, a prediction module, a data storage module, and an input interface module. It is used to predict electrical load, thermal energy load, and petroleum load according to user needs, and perform energy scheduling optimization, to obtain Select the type of input energy and its distribution method, according to the selected input energy type and its distribution method, the ene...

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Abstract

The invention provides an energy router modeled on the basis of multiple intelligent agents and an energy dispatching method thereof. The energy router comprises an energy control unit, an energy transfer unit, an energy conversion unit, an energy storage unit and a communication interface unit, wherein the energy control unit is used for forecasting the energy load according to user needs, optimizing the energy dispatching, obtaining the dispatching optimization information of the input energy, and transferring the dispatching optimization information to the communication interface unit; the energy transfer unit is used for transferring the energy selectively input in the dispatching optimization information of the input energy to the user load, the energy conversion unit or the energy storage unit; the energy conversion unit is used for converting the input energy to the other kind of required energy to be transferred to the user load; the energy storage unit is used for storing electric energy and heat energy; and the communication interface unit realizes communication among the energy control unit, the energy transfer unit, the energy conversion unit and the energy storage unit.

Description

technical field [0001] The invention belongs to the technical field of energy, and in particular relates to an energy router based on multi-agent modeling and an energy scheduling method thereof. Background technique [0002] Nowadays, the rapid growth of energy demand, over-reliance on resources such as fossil fuels, uneven distribution of non-renewable resources and growing environmental problems have gradually become common topics faced by all mankind. [0003] The raw material of the main energy in the world today is still fossil fuels. According to the World Energy Classification Table of the International Energy Agency, 86.6% of the energy was supplied by fossil fuels in 1973, and only dropped to 80.9% in 2009. Among them, nuclear energy and hydrogen energy increased from 2.7% in 1973 to 8.1%; solar energy, wind energy, and geothermal energy increased from 0.1% in 1973 to 0.8%. Although our use of fossil fuels is on the decline, fossil fuels are still the main source ...

Claims

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Application Information

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IPC IPC(8): H02J3/46H02J13/00
CPCY02E40/70Y04S10/12
Inventor 马大中张化光冯健孙秋野盖翔熊召喜
Owner NORTHEASTERN UNIV
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