Study On Fault Location Of Wind Power Transmission Lines Based On Parameter Identification

Parameter identification has become a high-profile control science and engineering disciplines of the branch, its application has been throughout including power system, agroforestry system, biological system, medical system and economic system, and even social system and many other fields.This paper studies the parameter identification in power system applications which contains wind power, mainly related to study wind power transmission line fault location which is based on the principle of parameter identification. The main contents are as follows:Detailed study of the theory and algorithm for power system parameter identification and selection of improved genetic algorithm to identify the parameters, the "parameter estimate" is transformed into "parameter optimization" problem. Parameter identification algorithm in the amount of known data are power frequency, but the power system faults often occur n harmonics, so in order to filter out harmonic and avoid derivative algorithm in the process of differential equation with finite difference approximation of truncation error, and adopted the protection signal digital processing method.Parameter identification applied to a wind farm on the equivalent model parameters to determine, first of all use the capacity-weighted single equivalent methods doubly-fed wind farm equivalent model, followed by the choice of the third-order motor mathematical model, the model will be equivalent after identifiability analysis. Then in the case of the parameters can be identified, in order to solve the error value of the stator voltage as the objective function, the use of the penalty function method processing constraints, the penalty function method and improved genetic algorithm combined identification, within a certain range of optimal search solution, identification get doubly-fed wind farm equivalent model parameters.Based on the idea of parameter identification, the use of sequence components without affecting the system load and oscillation advantage given sequence components based on instantaneous fault location identification algorithm, The algorithm for single-end distance, so the system impedance by transition resistance, and the influence of system operation mode.Traditional peer system impedance transmission line can be seen as a given value, so you can ignore its impact. But as the wind farm is incorporated, the uncertainty of wind power ranging impact on the results of the peer system impedance is growing. In order to avoid these effects, we use BP(Back-Propagation) neural network learning ability of powerful algorithms derived from the results of the initial ranging to compensate, and then get a more accurate solution.