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Research On Distributed Power Cluster Control And Cyber-physical Hybrid Simulation

Posted on:2021-07-02Degree:MasterType:Thesis
Country:ChinaCandidate:C X GuFull Text:PDF
GTID:2492306476955559Subject:Power system and its automation
Abstract/Summary:PDF Full Text Request
With the development of smart grids,distributed generators(DGs)have developed rapidly due to their clean,efficient,and plug-and-play advantages.They are connected to the grid in cluster form,and a single cluster may contain dozens or even more hundreds of distributed generators,which have brought new challenges to the safe and stable operation of the distribution network.At the same time,the access of a large number of distributed generators and various intelligent electronic devices has greatly increased the data communication volume of the distribution network,the interaction between the information system and the physical system has become more complicated,the control difficulty has increased,and the distribution network has reflected more features of the cyber-physical system(CPS).It can be regarded as power cyber-physical system where the power network and the communication network are coupled to each other.This paper focuses on distributed generator cluster system,which mainly researches on distributed generator cluster control and cyber-physics hybrid simulation.The main research work is as follows:(1)The concept of distributed generator cluster and the mainstream methods of existing distributed generator control are researched,and it is pointed out that in the context of a large number of distributed generators access to the distribution network,new distributed generator cluster control technologies need to be studied;The definition and basic characteristics of the power cyber-physical system are studied,and the three hybrid power information simulation methods are investigated and their characteristics are analyzed.(2)The distributed power cluster control method is studied.A distributed power control framework based on the principles of "intra-group autonomy" and "inter-group coordination" is designed,including the local control layer,the cluster partition control layer and the central control layer.The distributed generator multi-layer control structure and active and reactive control algorithms are designed,and a reactive power coordinated control algorithm based on the penalty cost of voltage overrun is proposed.Based on the actual grid in Jinzhai,Anhui,a simulation test was performed to verify the effectiveness of the proposed control scheme and algorithms.(3)The distributed power cluster communication network modeling is studied,and the communication data types and typical power services of the distributed power cluster monitoring system are analyzed.The communication network workstation is modeled based on open system interconnection reference model;A vulnerability assessment method for communication lines and communication nodes based on cluster connectivity coefficients is proposed,using the real-time operating parameters of the communication network to evaluate the vulnerability of distributed generator cluster system.The communication model of the actual line in Jinzhai,Anhui was built in OPNET.The vulnerability values of the communication lines and nodes in different communication scenarios were calculated,and the rationality of the proposed evaluation method was verified.(4)The power information hybrid simulation platform was established based on RTLAB and OPNET.The socket-based data interface is studied,and a time synchronization method for multi-system dynamic event triggering is designed to ensure accurate data transmission and accurate timing during simulation;Using the simulation platform,the power information hybrid simulation test was carried out to study the difference of control effect under different power conditions and communication scenarios.The simulation results verified the effectiveness of the platform and the feasibility of the proposed control scheme.
Keywords/Search Tags:Distributed Generator Cluster, Cyber-physical System, Communication Network Modeling, Power Information Hybrid Simulation
PDF Full Text Request
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