The evolving power system, referred to as the ‘smart grid’ is complex with rapidly increasing variable renewable energy sources and flexible loads (such as electric vehicles). The operations and control should facilitate efficient, secure, stable and reliable flow of power including from renewable energy sources (solar and wind). A power system with variable energy sources, bidirectional power flows, and uncertainty in forecasting and real- time availability of generation, loads, energy storage and other operational resources requires distributed and computational intelligence technologies for its optimal operation and control. This talk will present many examples of projects at the Real-Time Power and Intelligent Systems Laboratory over the last two decades that have successfully utilized the real-time digital simulator (RTDS) for integrating Artificial Intelligence (AI) methods and algorithms for power systems operations and control.
G. Kumar Venayagamoorthy, Clemson University