Transient Stability Analysis Of Multi-machine Power System Based On PSASP

In the operation of power system,there are often short-circuit faults,which make the power system in transient operation,and the parameters of the system will change greatly,which will cause harm to the power system.In recent years,with the rapid development of China's power industry,the power network has become more and more complex and huge,and the problem of transient stability has become increasingly serious.At this time,a more reliable transient stability analysis is more and more critical to the safe operation of the power grid.Therefore,it is necessary to simulate the power system based on PSASP to realize the transient stability analysis of power system effectively,conveniently and quickly.Firstly,WSCC-9 power system model is built and power flow calculation is carried out by using power system simulation program PSASP.Based on the power flow,the transient analysis of various short-circuit faults is carried out on the AC lines of the system.Through the analysis and comparison of the changes of three parameter curves of system voltage,frequency and angle difference between the normal operation of the power system and the occurrence of shortcircuit faults until the end of the fault,the summary is made The operating characteristics of the system in case of short-circuit fault,and the degree of damage to the system under various shortcircuit faults.Secondly,the simulation of fault removal is carried out for the above faults,and the degree of system stability recovery under different removal time is analyzed when the line short circuit fault occurs.Then,the critical clearing time of 54 fault points on 6 AC lines of WSCC-9 power model is calculated by comparing each removal time with exhaustive method.At the same time,the simulation of multiple complex faults is carried out,and the comparative analysis is made Compared with the simple fault,it causes more serious harm to the stable operation of the system.Finally,it is found that the simulation program can't automatically calculate the critical clearing time in case of system fault,and can only be exhausted manually.Therefore,this paper proposes a method of combining the simulation program with neural network.The neural network is trained by tens of thousands of sets of data in the previous simulation process,and seven fault points in the system are randomly selected The difference between the prediction results and the simulation results is very small,which verifies the feasibility of the method,and forms a virtuous circle of simulation program output data,neural network call simulation data,and accurately calculate the critical clearing time.