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There has been a significant growth of variable renewable generation in thepower grid today. However, the industry still uses deterministic optimizationto model and solve the optimal power flow (OPF) problem for real-timegeneration dispatch that ignores the uncertainty associated with intermittentrenewable power. Thus, it is necessary to study stochastic OPF (SOPF) that canbetter handle uncertainty since SOPF is able to consider the probabilisticforecasting information of intermittent renewables. Transmission networkcongestion is one of the main reasons for renewable energy curtailment. Priorefforts in the literature show that utilizing transmission networkreconfiguration can relieve congestion and resolve congestion-induced issues.This paper enhances SOPF by incorporating network reconfiguration into thedispatch model. Numerical simulations show that renewable curtailment can beavoided with the proposed network reconfiguration scheme that relievestransmission congestion in post-contingency situations. It is also shown thatnetwork reconfiguration can substantially reduce congestion cost, especiallythe contingency-case congestion cost.

Stochastic Optimal Power Flow with Network Reconfiguration: Congestion Management and Facilitating Grid Integration of Renewables