Abstract :
Summary form only given. The electric power grid is a complex adaptive system under semi-autonomous distributed control. It is spatially and temporally complex, non-convex, nonlinear and non-stationary with a lot of uncertainties. The integration of renewable energy such as wind farms, and plug-in vehicles further adds complexity and challenges to the various operations, decision making and controls at all levels of the power grid - generation, transmission and distribution. Advanced computational methods are required for planning, monitoring, control and optimization of power system operations. This tutorial will first describe the basic and advanced methods of computational intelligence (CI) and then the CI applications for monitoring, control and optimization of power systems.