The Dynamic Controlling Of Step In Implicit Taylor Series Transient Stability Calculation

The implicit Taylor series transient stability algorithm is simple in programming, and have A stability and precision advantages, which is a kind of excellent transient stability algorithm. Taylor series A stability transient stability algorithm determines that it can use a larger step simulation. Therefore, algorithm with variable step-size research, implementation step in ensuring the calculation accuracy under the condition of automatic adjustment and thereby improving the algorithm speed, has high research and practical value.Firstly, the article studies three kinds of typical variable step size theories and analyzes their respective advantages and disadvantages. Then from the local error definition, the article finds suitable predictor-corrector scheme local error estimation method, and offers a predictor-corrector method of changing step length combining with the variable step-size strategy. Then, the paper carries out a qualitative and quantitative analysis in the light of the algorithm speed and calculation, and the predictor-corrector variable step method is applied to the implicit Taylor Series in power system transient stability calculation, with the realizing of the algorithm of variable step size control, and gives the modification strategy of the variable step implicit Taylor series transient stability algorithm. As the editor’s time is limited, the implicit Taylor series transient stability algorithm quality of the source code, which uses C language, is not high and the stability, accessibility, normative, maintainability and modularity are inadequate, with great difficulties to achieve variable step function in the presence source code directly. Therefore, this article modifies the source program further, and in accordance with the functions of modular and adds the necessary notes, so that the source of the structure more clear, to lay a good foundation for the next variable step simulation program.Finally, using C language in Visual C++6.0simulation platform, the article conducts the simulation through a example of a province network. The simulation results show that, in the same simulation environment, comparing the traditional variable step size method (extrapolation estimate error) with the prediction correction method, the variable step simulation speed increases by nearly40.8%, and under the same simulation condition, comparing the prediction correction method with the fixed step (0.01s) method, the calculation speed is improved by64.4%, with a good computation efficiency achieved.