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Modelling and Analysis of Load Characteristics by Continiuation Methods

 
Kooperationspartner:

Lehrstuhl für Regelungstechnik, Universität der Bundeswehr, Hamburg
Prof. Dr.-Ing. Joachim Horn, Dipl.-Ing. Ingo Winzenick

The dynamical behavior of power systems is determined by the load characteristics, mainly. Therefore, in the past a lot of load models are constructed and they are verified much more simulational studies, which is reported in literature very well. The problem with these studies is, that most of them are based on time series analysis only. From literature it is also known, that newton based algorithms for simulation can show a fractal structure. All calculated solutions are therefore singular. Moreover, it could be shown, that the interconnection of nonlinear models of power systems devices to more complex power systems lead to a numerial index problem. Even in the simplest case of a power system representation by load flow equations, there exist a lot of solutions, only some of them make sense in a physical manner, but numerically they exist. On the other hand, there is a need in much more detailed information about power system dynamics. The introduc-tion of FACTS–devices to force the system to have special dynamical characteristics under various conditions makes the problem not simpler.

One possibility to overcome some of the problems is, to apply continuation methods, to calculate all possible solutions of a power system under study. The application of continiuation methods on power system analysis and computation of dy-namics has the advantage, that beside a possible calculation of time series, the complete solution of the system in depen-dence of interesting parameters can be achived. Furthermore, sophisticated software programs can classify the properties which every calculated solution point has. Special bifurcational properties can be continued.

From the analysis and numerical computations, an outlook will be given to use the results to determine FACTS–devices to manipulate the bifurcational behavior of the systems under consideration.

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