Static Voltage Stability Critical Sample Generation Method for Power Grid Side Energy Storage Configuration
In order to reliably grasp the operation state of the power grid and solve the problems of sample redundancy and poo-rer feature description ability of energy storage configuration on the power grid side,a static voltage stability critical sample generation method for power grid side energy storage configuration is proposed.According to the constructed static voltage sta-bility discrimination index,the influence of power grid side energy storage configuration on the index is analyzed,and the corre-lation between the static voltage stability critical point and the saddle-node bifurcation point of nonlinear power flow equation is determined.This paper innovatively calculates the power flow equation of static voltage,based on the solvability of power flow,on the basis of trend solvability,Wasserstein generative adversarial network optimized by transfer learning and gradient penalty is used to generate the critical samples of static voltage stability and determines the non-connecting nodes as the charac-teristic parameters and sample constraints of the generated samples.The test results show that the stability index established by the proposed method is effective.When generating the critical samples of static voltage stability,the method fully considers the energy storage configuration and accurately describes the voltage of the power grid.The fluctuation range is 1 to 2 pu.The critical samples of static voltage stability at different ends of the branch are generated,and the operation state of the power grid can be judged according to the samples.
power grid sideenergy storage configurationstatic voltage stabilitycritical sample generation