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Research On Distributed Control Of Power Information Physical System Based On Swarm Algorithm

Posted on:2021-09-09Degree:MasterType:Thesis
Country:ChinaCandidate:H Q HanFull Text:PDF
GTID:2492306107498454Subject:Control Science and Engineering
Abstract/Summary:PDF Full Text Request
In recent years,with the application of information measurement and communication technology in power grid and the access of non-traditional energy and emerging technologies to power grid,the research of smart grid has attracted the attention of academia and industry.Smart grid uses advanced control,communication and sensor technology to improve the operation efficiency and transient stable operation recovery ability of the grid,and to contribute to the development of renewable energy and distributed storage devices.The use of advanced measurement and communication technology,as well as the introduction of energy storage technology as a new means of regulating power into the smart grid,provides a new idea for ensuring the smooth operation of the power grid.Based on the existing research results of transient stability control in smart grid,this paper makes further research work from the point of view of information physical system.The main contents and achievements of this paper are as follows:1.Summarized the hot issues of power system transient stability control methods in recent years,and summarized from three aspects: preparatory knowledge,power information physical system model and distributed control algorithm,which provides a solid and powerful theoretical reference for the next study of smart grid transient stability control problems.2.In view of the slow response of the current smart grid transient stability control,combined with the concept and analysis method of the information physical system,using the characteristics of cooperation and coordination among the multi-agent in the system,the system driven control scheme through external energy storage equipment(energy storage systems,ESS)provides a new method to change the power system dynamics.A distributed control strategy for nonlinear power system is proposed.Its controller receives partial real-time state information of power grid through phasor measurement unit(phasor measurement unit,PMU)and combines weight matrix to realize local information interaction.Using controllable external energy storage equipment with fast action characteristics,it outputs(or absorbs)active power to generator bus to control,and realizes system transient recovery quickly and efficiently.In this work,the main research uses distributed generators as well as advanced sensor and communication technologies to improve the stability margin of power systems by using optimal control schemes.The simulation results verify the effectiveness of the controller designed in this paper in the fast and stable recovery of power system.3.The introduction of information measurement and communication technology into smart grid will aggravate the uncertainty of power grid and create network security problems such as information disturbance.In the process of actual information transmission,the communication delay is inevitable,and then has a negative impact on the effect of the controller.In this paper,a new distributed nonlinear controller based on swarm control algorithm is proposed for network security problems such as time delay due to communication dependence.It is used to counter information interference such as system time delay,accelerate the stable process of restoring synchronous generator frequency consistency and phase angle oscillation,and improve the transient stability margin of smart grid in the presence of communication delay and physical interference.Based on the stability analysis of Lyapunov,it is proved theoretically that multi-agent system can achieve global consistency and finally bounded.Matlab/simulink simulation results of the platform verify the feasibility of the proposed control strategy and the effectiveness under practical constraints.
Keywords/Search Tags:Power information physical system, smart grid, transient stability, swarming algorithm, distributed control, external energy storage
PDF Full Text Request
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