Java agent development (JADE)-based intelligent power grid power generation dispatching multi-Agent system

A smart grid, total dispatching technology, applied in the direction of multi-programming devices, etc., can solve the problems of increasing operating costs, increasing operating risks, and the inability of manual coordination and dispatching to meet the requirements of dispatching under smart grids.

Inactive Publication Date: 2012-08-01
GUANGXI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Too much backup configuration will increase the operating cost, and too little will increase the operating risk. Therefore, the day-ahead scheduling of wind farms should focus on making full use of the grid backup configuration.
[0003] It can be seen that the traditional manual coordination and dispatching method cannot meet the dispatching requirements of the smart grid

Method used

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  • Java agent development (JADE)-based intelligent power grid power generation dispatching multi-Agent system
  • Java agent development (JADE)-based intelligent power grid power generation dispatching multi-Agent system
  • Java agent development (JADE)-based intelligent power grid power generation dispatching multi-Agent system

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Embodiment

[0162] As shown in the accompanying drawings, the multi-Agent system of smart grid power generation dispatching based on the JADE development platform of the present invention is based on the JADE development platform to design the energy-saving generation dispatching multi-Agent intelligent system under the smart grid, including the total dispatching calculation Agent, and Peak regulation and frequency modulation Agent, generation sequence management Agent, market management Agent, target management Agent, unit management Agent, safety management Agent, maintenance management Agent, backup management Agent, load management Agent and new Energy unit management Agent; each Agent is equipped with an initialization module responsible for adding and updating behaviors, a behavior module describing the functions that the Agent can complete, an execution module, an information storage module and a communication module; the behavior module contains Action () function, Action () Storag...

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Abstract

The invention discloses an intelligent energy-saving power generation dispatching multi-Agent system for designing an intelligent power grid based on a java agent development (JADE) platform. The system comprises a general dispatching calculation Agent, a peak and frequency modulation Agent, a power generation sequence management Agent, a market management Agent, a target management Agent, a unit management Agent, a safety management Agent, a maintenance management Agent, a standby management Agent, a load management Agent and a new energy unit management Agent, wherein each agent is provided with an initialization module, a behavior module, an execution module, an information storage module and a communication module; and the behavior module is used for designing an Agent reasoning calculation part by using a function in Matlab. The intelligent energy-saving power generation dispatching multi-Agent system in the intelligent power grid is high in intelligence, adaptivity, decisive property, rapidity and the like.

Description

technical field [0001] The invention relates to a multi-Agent (intelligent body) intelligent dispatching system for smart grid power generation dispatching based on a JADE development platform. Background technique [0002] The development direction of smart grid is to build a grid with flexible, clean, safe, economical and friendly performance. Intelligent dispatching of energy-saving power generation is a key part of realizing smart grid. Compared with the traditional scheduling system, intelligent scheduling has the characteristics of "multi-objective", "controllable", "adaptive", "self-processing", "self-decision-making" and "rapid". The so-called "multi-objective" means that the system can coordinate multiple objectives such as "safety", "economy", "energy saving" and "environmental protection", and can formulate different objective functions according to different task states, and finally achieve the overall optimal operating state. That is, "multi-objective optimizat...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/46
Inventor 兰飞黎静华徐辉杨涛赵国辉杨晓雨
Owner GUANGXI UNIV
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