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Application Of Multi-agent System In The Micro-grid Control

Posted on:2014-12-08Degree:MasterType:Thesis
Country:ChinaCandidate:J L ZhaoFull Text:PDF
GTID:2262330401453144Subject:Communication and Information System
Abstract/Summary:PDF Full Text Request
With the increase of load and the aging of power system structure, as well as the improvement of users’demand on environment protection, energy efficiency and power quality, the traditional power grid is facing with severe challenges. Micro power with effective advantages, such as distributed power supply, flexible and intelligent, can help to solve the above problems. Moreover, the core of microgrid research is to study its control strategy.Due to microgrid contains a large number of distributed energy resources and users, in order to guarantee the safety of the microgrid and realize flexible control, distributed control must be adopted. Multi-agent system can realize distributed control of complex software system, so a microgrid control scheme based on multi-agent system is put forward in this article.This paper mainly focuses on the DER scheduling problem in the process of microgrid’s operation mode transformation. According to the theory of multi-agent system and its development method, genetic algorithm of the traditional scheduling techniques is applied to the Agent decision process of multi-agent system, in combination with the control objective of microgrid, a multi-agent system based on ZEUS platform is designed. On the basis of the structure of microgrid, MATLAB/Simulink is utilized to build a microgrid simulation platform. Finally, the communication between the Simulink model of microgrid and multi-agent system is achieved by use of the middle server which is based on TCP/IP.Based on reasonable hypothesis, DER scheduling strategy is proposed. Through designing the practical parameters, a simulation example is given. The user’s demand and the environmental quality of DER factor can be changed in the user interface, then the DER scheduling results in different conditions are compared, finally, the effectiveness of the scheduling policy is demonstrated. Simulation results show that the multi-agent system can promptly cut off the main island and make microgrid step into the model of single island when the failure occurs, at the same time, whether to connect or disconnect the DER and users is determined according to scheduling policy, the conversion time of the two kinds of operation mode is0.02seconds and the total harmonic of microgrid is less than5%which all meet the industry standards of state grid.Through controlling the multi-agent, the seamless switching of microgrid operation modes and the effective scheduling of distributed generation in single island mode are carried out in this paper, which provide the theoretical basis for the coordinated scheduling between the multi-agent system-applied actual smart grid’s microgrid and distribution network.
Keywords/Search Tags:multi-agent system, microgrid, operational mode, scheduling policy, genetic algorithm
PDF Full Text Request
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