Stability analysis of networked control in smart grids

Singh, Abhinav Kumar, Singh, Ravindra and Pal, Bikash C. (2014) Stability analysis of networked control in smart grids. IEEE Transactions on Smart Grid, 6 (1). pp. 381-390. ISSN 1949-3053

Full content URL:

06813688.pdf - Whole Document
Available under License Creative Commons Attribution.

Item Type:Article
Item Status:Live Archive


A suitable networked control scheme and its stability analysis framework have been developed for controlling inherent electromechanical oscillatory dynamics observed in power systems. It is assumed that the feedback signals are obtained at locations away from the controller/actuator and transmitted over a communication network with the help of phasor measurement units (PMUs). Within the generic framework of networked control system (NCS), the evolution of power system dynamics and associated control actions through a communication network have been modeled as a hybrid system. The data delivery rate has been modeled as a stochastic process. The closed-loop stability analysis framework has considered the limiting probability of data dropout in computing the stability margin. The contribution is in quantifying allowable data-dropout limit for a specified closed loop performance. The research findings are useful in specifying the requirement of communication infrastructure and protocol for operating future smart grids.

Keywords:Cyber physical energy network, damping control, Kalman filtering, linear quadratic Gaussian (LQG), networked control systems (NCS), packet-drop, phasor measurement units (PMUs), smart grid, stochastic stability, thyristor controlled series capacitor (TCSC), Power system stability, Damping, Protocols, Stability criteria, Kalman filters, Actuators, closed loop systems, continuous systems, discrete systems, feedback, networked control systems, phasor measurement, power system control, probability, smart power grids, stability, stochastic processes
Subjects:H Engineering > H660 Control Systems
H Engineering > H631 Electrical Power Generation
H Engineering > H630 Electrical Power
G Mathematical and Computer Sciences > G420 Networks and Communications
Divisions:College of Science > School of Engineering
ID Code:28761
Deposited On:27 Sep 2017 13:44

Repository Staff Only: item control page