Scalable Integrated Situational Awareness System for Smart Grid

Bipul Luitel and Ganesh Kumar Venayagamoorthy

In a smart grid, monitoring of system variables such as voltages and speed deviations of generators is important for assessing its stability, and making proper control decisions. Development of wide area monitoring system is, hence, important for situational awareness; especially in a smart grid where integration of renewable resources, distributed generation and bidirectional power flows can lead to instabilities if proper control action is not taken at the right time, place and context.

Emergent Intelligence in Cellular Neural Networks

Bipul Luitel and Ganesh K. Venayagamoorthy

Emergent Intelligence in Cellular Neural NetworksIntelligence in CNN emerges from a group of cells that are learning subsystems, all of which either utilize the same or  a different learning method, that either adapt themselves in synchrony with the other subsystems or independent of the others in their own pace. Intelligence in CNN emerges over time through progressive learning and adaptation of these distributed interacting subsystems represented as cells.

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.

Damping Electromechanical Oscillations in Large-Scale Power Systems Using Intelligent Aggregated Control

Diogenes Molina, Ganesh Kumar Venayagamoorthy and Ronald G Harley

Poorly damped oscillations can constraint the safe operating region of power systems, prevent more economical operation, and increase the probability of wide-spread blackouts. Controllers capable of monitoring and injecting signals at multiple generating stations across the system can help mitigate these oscillations and improve overall performance. Methodologies for designing such controllers using approximate dynamic programming system aggregation techniques are proposed.