Small Signal Monitoring of Power System using Subspace System Identification

In this paper, small signal analysis of power systems is investigated using Subspace System Identification (SSI) methods. Classical small signal analysis methods for power systems are based on mathematical modeling and linearized model of power system in an especial operating point. There are some difficulties when such a classical method is applied, specially, in the case of large power systems. In this paper, such difficulties and their bases are investigated and in order to avoid them, it is suggested to use SSI algorithms for small signal analysis of power systems. The paper discusses extracting of small signal properties of power systems and presents some new suggestions for application of subspace system identification methods. Different types of subspace system identification algorithms were applied to different power system case studies using the presented propositions. The benefits and drawbacks of subspace system identification methods and the presented suggestions are studied for small signal analysis of power systems and power system monitoring. Several comparisons were investigated using computer simulations. The results express the usefulness and easiness of proposed methods

Robust Multivariable controller Design with the simultaneous H2 /H∞/µ for Single Person Aircraft

In a physical system several targets are normally being considered in which each of nominal and robust performance has their own strengths and weaknesses. In nominal performance case, system operation without uncertainty has decisive effect on the operation of system, whereas in robust performance one, operation with uncertainty will be considered. The target of present paper is a balance between nominal and robust performance of state feedback A new approach of present paper is the combination of two controllers of μ and H2/H∞.  The controller for robust stability status, nominal performance, robust performance and noise rejection are designed simultaneous. Controller will be achieved from solving constraint optimization problem. Where a simultaneous H2 /H∞/µ robust multivariable controller has been designed over an X-29 Single Person.  This model has three inputs and three outputs, where the state space equations of the system response to an unstable one. Simulation results show the effectiveness and benefits of the method.DOI:http://dx.doi.org/10.11591/ijece.v3i2.235