Bringing probabilistic analysis capability from planning to operation

Abstract The dynamic behavior of smart grid technologies requires the transition from a deterministic to a probabilistic control paradigm. This necessitates a smoother, better-integrated interplay between the functional roles of planning and operations to leverage the capabilities of probabilistic analysis in both realms. This paper presents two power system probabilistic analysis tools and how they are integrated into the GridOPTICS Software System (GOSS), a middleware platform facilitating deployment of new applications for the future power grid. Case study results show the developed tools provide better prediction of the power system balancing requirements, better transmission congestions management, and better system reliability.