Computational Science for Grid Management

Electric utilities and operators of the modern grid face complex challenges. For example, distributed energy leads to greater uncertainty of supply and demand due to the intermittent nature of alternative energy resources, such as wind and solar. As a result, safety margins must increase to maintain reliability, which increases costs. Electric utilities and grid operators need advanced computational planning tools to keep pace and operate economically in this complex environment.