Title :
Algorithm of event detection for hybrid power system simulation
Author :
Zhao, Hong-shan ; Hu, Yan-bin
Author_Institution :
Dept. of Electr. Eng., North China Electr. Power Univ., Baoding
Abstract :
The power system is a large-scale nonlinear system, and presents the hybrid characteristic of continuous dynamics and discrete event dynamics. Hence power system is considered as a classic hybrid system. This paper proposed a numerical calculating approach which system control theory is applied for evaluation of stepsize. A solution algorithm used to detect and locate events occurred in process of power system numerical simulation is studied, i.e. this algorithm is taken as a feedback controller, controller input is system guard functions, and controller output is the stepsize of numerical calculation. This output stepsize then combined with traditional stepsize choice techniques and an appropriate stepsize is finally determined for numerical simulation. The proposed algorithm can exactly detect and locate events occurred in power system. Finaly, a simple example of power system is given, the results of numerical evaluation show that the proposed approach is reasonable and feasible.
Keywords :
discrete event simulation; feedback; hybrid power systems; large-scale systems; nonlinear dynamical systems; numerical analysis; power system control; power system simulation; discrete event detection algorithm; feedback controller; hybrid power system numerical simulation; large-scale nonlinear system; power system control; Control theory; Discrete event simulation; Event detection; Hybrid power systems; Large-scale systems; Nonlinear dynamical systems; Nonlinear systems; Numerical simulation; Power system dynamics; Power system simulation; event detection; feedback control; numerical algorithm; power system;
Conference_Titel :
Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on
Conference_Location :
Nanjuing
Print_ISBN :
978-7-900714-13-8
Electronic_ISBN :
978-7-900714-13-8
DOI :
10.1109/DRPT.2008.4523550