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Study On Suppression For Electromechanical Disturbance Propagation Utilizing SMES Based On Implicit Generalized Predictive Control

Posted on:2018-01-04Degree:MasterType:Thesis
Country:ChinaCandidate:Y LiuFull Text:PDF
GTID:2322330512979648Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
With the development of interconnected power grid,the dynamic characteristics of the system becoming more complicated.The electromechanical disturbance propagation in power system seriously affects the stability of power grid,resulting in increasing probability of accident caused by the disturbance.As a flexible power source,superconducting magnetic energy storage(SMES)can exchange active power with power system fast,suppressing the spread of disturbance.Therefore,it is very important to suppress the propagation of electromechanical disturbances with superconducting energy storage devices.Primarily,this paper establishes a mathematical model based on the analysis of DC power flow,which is suitable for studying the electromechanical disturbance propagation of large-scale power system.Using the New England 10-machine 39-bus system,compare the model built in Matlab/Simulink with the time domain simulation results of PSS/E.Result shows the effectiveness and accuracy of the new model.Secondly,implicit generalized predictive control(IGPC)is used to design the SMES controller,and the influence of each control parameter on performance is simulated.Based on the MATLAB/Simulink environment,the results show that the SMES device based on IGPC can suppress the electromechanical disturbance propagation quickly and effectively compared with the traditional SMES device in the New England 10-machine 39-bus system.Finally,it is found that IGPC easy to fall into the local optimal solution in the gradient optimization session,and the time cost is large because of the secondary planning.The improved SMES controller with IGPC improved by quantum particle swarm optimization algorithm(AQPSO)is studied.The advanced quantum particle swarm optimization(AQPSO)combining the nonlinear dynamic inertia weight and the chaotic search is used to optimize the rolling optimization part of IGPC.The problem of combining AQPSO with IGPC is solved,and the specific optimization process with AQPSO-IGPC hybrid is expounded.Simulation results show the SMES device based on AQPSO-IGPC can smooth fluctuation of transmission power between bus and rotor angular velocity difference in the early stage,achieving better suppression effect.
Keywords/Search Tags:Electromechanical Disturbance Propagation, Superconducting Magnetic Energy Storage(SMES), Implicit Generalized Predictive Control, Quantum Particle Swarm Optimization Algorithm
PDF Full Text Request
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