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Renewable energy sources (RES) has gained a lot of interest recently. Thelimited transmission capacity serving RES often leads to network congestionsince they are located in remote favorable locations. As a result, when poorlyscheduled, the intermittent nature of RES may result in high curtailments ofthe free resource. Currently, grid operators utilize a static network whenperforming day-ahead scheduling and ignore transmission flexibility. This paperexplores the possibility of utilizing network reconfiguration as a correctiveaction to reduce the transmission congestion and thereby the reduction of REScurtailments in day-ahead scheduling. To facilitate the RES integration in thegrid, a stochastic N-1 security-constrained unit-commitment with correctivenetwork reconfiguration (SSCUC-CNR) is modelled. SSCUC-CNR model is studied ona modified IEEE 24-bus system with RES. The simulation results demonstrate thatCNR not only leads to a lower cost solution by reducing network congestion butalso facilitates RES integration by reducing congestion-induced curtailments inhigh penetration cases. Emission studies demonstrate that more green generatorsare committed resulting in reduced carbon emissions when CNR is implemented.

Reducing Congestion-Induced Renewable Curtailment with Corrective Network Reconfiguration in Day-Ahead Scheduling