Method for identifying synchronous generator parameters

Abstract

The invention belongs to the technical field of identifying synchronous generator parameters, and relates to a method for identifying the synchronous generator parameters by an improved evolution algorithm. Starting from an randomly-generated initial generator parameter group, optimal solution is searched through generation of an initial group, fitness calculation, recombination, mutation and selection, and stopping operation according to operating principles of struggle for existence and survival of the fittest by using actual measurement data in a power management unit (PMU) in a wide area measurement system (WAMS); and an improved evolution strategy algorithm of biomimicry is taken as optimizing theoretical basis, the decoupling of a direct axis and a quadrature axis of the synchronousgenerator and steady state and transient state are processed separately, an initial practicable parameter group is established through design parameters, and a differential equation of a higher orderis calculated by selecting a high-precision improved Euler method, so that the output variable set by the generator is solved, the optimizing process is realized through recombination, mutation and selection of the initial group, and the synchronous generator parameters are identified. The method is simple and has a reliable principle, and the correctness of the parameter identification is high.

Description

Technical field: [0001] The invention belongs to the technical field of parameter identification of synchronous generators, and relates to a method for identifying parameters of synchronous generators using an improved evolutionary algorithm, in particular to a method applicable to parameter identification of synchronous generators with both hidden pole rotors and salient pole rotors. Background technique: [0002] The correctness of power system parameters is the basis of application analysis functions such as power system state estimation, power flow calculation, network loss analysis, fault analysis, protection device fixed value calculation, and market analysis. At present, in the actual use of generator parameters, due to the lack of measured parameters and the direct use of design parameters, as well as line reconstruction and changes in the operating environment, it is easy for operators to grasp the grid parameters inaccurately, thereby reducing the reliability of the...

AI Technical Summary

Problems solved by technology

At present, in the actual use of generator parameters, due to the lack of measured parameters and the direct use of design parameters, as well as line reconstruction and changes in the operating environment, it is easy for operators to grasp the grid parameters inaccurately, thereby reducing the reliability of the grid model. As a result, the credibility of various application analysis and auxiliary decision-making functions based on the power grid model is greatly reduced, which seriously affects the safe and stable operation of the super-large power grid

At the same time, in the market environment, congestion management and real-time electricity price formulation also depend on accurate grid models and various parameters. Therefore, the correctness of generator parameters in the power system may affect the business decisions of market members, causing serious social impact

However, the methods for identifying generator parameters in the prior art generally have shortcomings such as complex process, poor identification accuracy, low identification efficiency, and long-term calculation process.

Images