Power system stability enhancement over a network with random delays

Abstract

The emergence of conventional electrical grid into smart grid has enabled the use of networked controllers for power system control applications. This article discusses the rotor angle stability enhancement of a power system using networked control, where the channel has random delays. An optimal stochastic control is designed to damp the oscillations in power system and compensate the delay effects using probability distribution of delays. Due to unavailability of states, a Kalman filter like estimator is used for states estimation. Stability analysis of the closed-loop system is performed for investigating the effect of delays, delay probabilities and parametric variation on stability of the system. WSCC 3-machines, 9-bus system is used as a case study for verification of the designed observer-based control.