Abstract
This paper outlines recent work on development of an optimal power flow (OPF) model for use in systems with large amounts of uncertainty, specifically from wind generation. By incorporating the stochastic nature of wind into the OPF, and thus producing a Stochastic OPF (STOPF), the results seen are more robust to wind power output forecast inaccuracies, as well as uncertainties about load, generator and transmission outages. The STOPF problem solves for re-dispatch schedules after contingencies and other uncertain events represented in the model. Hence, it can be formulated to determine the system reserve requirements, validate the sufficiency of reserve procurement, and obtain fast redispatch strategies in real time system operations. Enhancements to an existing STOPF model are described; applications of the model to areas related to high wind power operations are then shown.
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