Title :
Systematic modeling and symbolically assisted simulation of power systems
Author :
Hiskens, Ian A. ; Sokolowski, Peter J.
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA
fDate :
5/1/2001 12:00:00 AM
Abstract :
Large disturbance behavior of power systems often involves complex interactions between continuous dynamics and discrete events. Such behavior can be captured in a systematic way by a model that consists of differential, switched algebraic and state-reset (DSAR) equations. The paper presents a practical object-oriented approach to implementing the DSAR model. Each component of a system can be modeled autonomously. Connections between components are established by simple algebraic equations. Simulation of the model using numerically robust implicit integration requires the generation of partial derivatives. The object-oriented model structure allows this differentiation to be achieved symbolically without sacrificing simulation speed
Keywords :
differential equations; differentiation; discrete event systems; object-oriented methods; power system simulation; symbol manipulation; continuous dynamics; differential equations; differentiation; discrete events; large disturbance behavior; numerically robust implicit integration; object-oriented approach; object-oriented model structure; power systems; state-reset equations; switched algebraic equations; symbolically assisted simulation; systematic modeling; Differential algebraic equations; Discrete event simulation; Hybrid power systems; Numerical models; Object oriented modeling; Power system dynamics; Power system modeling; Power system protection; Power system simulation; Robustness;
Journal_Title :
Power Systems, IEEE Transactions on