Stochastic Bifurcation And Stability In New Energy Power System

With the development of new energy and access to the power grid,the scale of interconnected power grid continues to expand,causing more and more factors of system instability,power supply,load,fault and other random disturbance phenomenon also become more and more attractive.With the increase of random factors,the traditional deterministic power system model can no longer explain the influence of random disturbance on the stability of power system,so it is necessary to construct a new stochastic power system model to analyze its influence.Therefore,the study of stochastic stability of power system is of great significance.Bifurcation theory,as an important branch of stability theory,can explain the change of system stability with parameters or system structure.In a word,this paper mainly studies the bifurcation and stochastic stability of new energy power system.The main research work of this paper includes the following contents:1.Focus on bifurcation of Single Machine Infinite Bus(SMIB)without access to new energy.Mathematical software was used to simulate the phase diagram and regulate the parameters in the system,so as to more intuitively observe the saddle node bifurcation and Hopf bifurcation phenomenon existing in SMIB from the phase diagram.2.Considering the random new energy access to power system stability,and the concept and method of stochastic bifurcation,on how to make power system modeling,especially various random access the motor model is modeled after further expounded,in view of the mechanical power access with additional additive noise and increase the voltage amplitude of multiplicative noise generated by the corresponding random SMIB system model,using the method of Fourier configuration,and the Top Lyapunov exponent,random D-bifurcation phenomenon analysis system.3.For the SMIB system with additional mechanical power noise and noise generated in the increased voltage amplitude,the combined probability density of the two SMIB systems affected by different noises is solved by factorization,random averaging and other methods,and the random p-bifurcation phenomenon is analyzed.4.The phase diagram curve of stochastic SMIB system is simulated.By using the Euler-Maruyama method and the Heun method and Using the control variable method,the rotor mean angle curve is used as a criterion to judge the stability of the system.