Model Order Reduction of Power Plant System by Balanced Realization Method

this paper deals with the model order reduction of power plant system by using balanced realization method. The algorithm can be utilized for reducing the order of the unstable higher-order system and we arc successfully obtaining stable reduced order models. Balanced realization based model design gives an utmost ideal matching over all the frequencies. The proposed method preserves the important properties such as controllability, observability and balanced form. The power plant system utilized in this paper is inherently unstable and includes several input-output states. This brings complex scenario for reducing the order of the system. Most of the papers deal with the reduction of SISO (Single-Input-Single-Output) large-scale systems, but in this paper we applied balanced realization method for the reduction of MIMO (Multi-Input-Multi-Output) Systems. This paper produces steady & precise results as compared to conventional reduction techniques like Routh's approximation.