Improved distributed multi-agnet system for microgrid multi-target energy management

Abstract

The invention discloses an improved distributed multi-agnet system for microgrid multi-target energy management. The system comprises at least one microgrid unit, a main container, and at least one Agent container. The main container comprises a basic Agent, an aggregation electrical Agent, and an Agent platform. The basic Agent is used for establishing a decision, negotiation, and executing a microgrid solution. The running time of the basic Agent is defined as a decision period. The decision period is asynchronously started by an unpredictable event. The finish time of the decision period is adjusted dynamically. The basic Agent also comprises a distribution unit. The microgrid unit is divided according to functions and at least one type of basic Agent is paired by the distribution unit. Each Agent container comprises a unit electrical Agent and at least one basic Agent. The unit electrical Agent is bound to a mircogrid unit and sends corresponding electrical information to the aggregation electrical Agent. The basic Agents communicate with one another via an Agent protocol. The system establishes communication among the Agents, decides self behaviors by using self information and local environmental information in order to finally achieve an overall optimization control purpose of the mircogrid.

Description

technical field [0001] The invention relates to the technical field of microgrid energy management and control, in particular to an improved distributed multi-agent system that can be used for microgrid multi-target energy management. Background technique [0002] In recent years, aiming at the outstanding problems in distributed generation and microgrid operation control and optimization, various artificial intelligence technologies such as MultiAgentSystem (MAS) technology, genetic algorithm, artificial neural network, and fuzzy logic have been applied to distributed generation and microgrid. The field of microgrid control has received extensive attention. [0003] The definition of MAS is a collection of autonomous computing entities (Agents), which can be effectively applied to perform tasks based on goals in environments that are difficult to define and analyze. The operation of each microgrid unit in the microgrid has relatively strong independence and must have good ...

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Problems solved by technology

[0005] The purpose of the present invention is to solve the problems in the above-mentioned prior art, and propose an improved distributed multi-agent system that can be used for micro-grid multi-objective energy management. In the case of limited information visibility, it can also solve complex multi-objective optimization problems, so that the microgrid system as a whole can achieve better overall results in terms of cost, environment, efficiency and other goals.

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