Scalable Monitoring and DSOPF Control for Smart Grids

Karthikeyan Balasubramaniam and Ganesh Kumar Venayagamoorthy

An adaptive, optimal, real-time controller based on adaptive critics design called dynamic stochastic optimal power flow (DSOPF) controller is proposed. Stochastic nature in power system can arise as a result of load and generation stochastic behaviors and due to random noise in PMU data which arises due to communication noise and measurement error. DSOPF controller can perform real-time control action but system wide information cannot be made available to DSOPF controller in real-time because of power system communication delays which can range from a few milliseconds to several seconds depending on distance and communication media.

If state variables can be predicted ahead of time, then communication delay can be compensated for. Hence, a scalable wide area monitoring system that can predict state variables ahead of time is developed. Scalability is achieved by using cellular architecture called cellular computational network (CCN). This module can effectively compensate for communication delays and hence can enable DSOPF controller to perform real-time control with system wide information.

Dynamic Stochastic Optimal Power Flow Control for Smart Grids

Jiaqi Liang, Ganesh Kumar Venayagamoorthy and Ronald G Harley

High penetration of intermittent renewables adds uncertainty and variablity.  Static OPF cannot handle fast stochastic/dynamic events. Secondary frequency and voltage control cannot guarantee system-wide security. Coordinated AC power flow control solution replaces existing linear secondary frequency and voltage control, interacts with dynamics of load and local controllers. It simultaneously considers economy, stability, and security in real-time control. It also handles fast stochastic events (eg. wind variations, and contingencies).

DSOPF Control for Power Systems with High Variability

Jacqi Liang, Ganesh K. Venayagamoorthy and Ronald G. Harley

DSOPF Control for Power Systems with High VariabilityTo achieve a high penetration level of intermittent renewable energy, power system stability and security need to be ensured dynamically as the system operating condition continuously changes. A DSOPF control algorithm using adaptive critic designs (ACDs) is proposed as a solution to control the smart grid in an environment with high short-term uncertainty and variability.