Suboptimal Controller Design for Power System Model

This paper proposes a design of a suboptimal controller for a power system model. The system chosen is of order five and is reduced to models of orders four and three due to the reason that the implementation of suboptimal control demands the measurement of all the state variables of the system which is not practically feasible. The aggregation technique is employed for the reduction of order of the model. The aggregation matrix can be obtained using continued fraction expansion technique. The computational complexity is reduced by using the model order reduction techniques because the resulting suboptimal controllers are based on models with reduced orders. The performance analysis of the original system which is of the order of five is carried out in terms of several parameters.