Title :
Experience with the minimal realization approach identifying large MIMO system
Author :
Gérin-Lajoie, Luc ; Kamwa, Innocent
Author_Institution :
Planning Syst., Hydro-Quebec, Montreal, Que., Canada
Abstract :
A new state-space identification technique for MIMO systems based on their impulse responses is now well established. Following this approach, the authors use pulse responses generated by a transient stability program to identify three models of a large power system: five inputs and five outputs (5×5)-35-th order; 10×10-35-th order and 25×25-85-th order. This paper focuses on the computational constraints of the minimal realization algorithm (time and memory requirements) applied to such huge systems. It also discusses comparative results demonstrating the tradeoffs in identification accuracy using different algorithmic settings. A scalar metric is suggested, which allows quantitative assessment of the precision of the state matrices (a,b,c,d). The best settings are then selected by minimizing this performance measure, keeping in mind the associated computational cost. From the system matrices (a,b,c,d), the authors derive several types of very promising numerical tools, including controllability and observability measures, which illustrate the system natural frequencies and damping as well as the contribution of the hydraulic power plants to common and local modes dynamics
Keywords :
MIMO systems; controllability; frequency-domain analysis; matrix algebra; observability; power system control; power system stability; power system state estimation; power system transients; state-space methods; transient response; algorithmic settings; common dynamics; computational cost; controllability; damping; frequency domain analysis; hydraulic power plants; impulse responses; large MIMO system identification; large power system; local modes dynamics; minimal realization algorithm; minimal realization approach; natural frequencies; observability; state-space identification technique; system matrices; transient stability program; Computational efficiency; Controllability; MIMO; Observability; Power generation; Power system modeling; Power system stability; Power system transients; Pulse generation; Pulse power systems;
Conference_Titel :
Electrical and Computer Engineering, 1995. Canadian Conference on
Conference_Location :
Montreal, Que.
Print_ISBN :
0-7803-2766-7
DOI :
10.1109/CCECE.1995.526622