A probabilistic modeling based approach for Total Transfer Capability enhancement using FACTS devices

Available Transfer Capability (ATC) is a key concept in the restructuring of power systems. ATC is used by system operators to determine the ability of transmission system to transfer power and by system planners to indicate a system’s strength. ATC calculation involves determination of Total Transfer Capability (TTC) and two margins, Transmission Reliability Margin (TRM) and Capacity Benefit Margin (CBM). In fact, if the values of TRM and CBM are assumed to be constant, ATC is directly expressed by TTC. Therefore, improvement of TTC is an important topic in the current deregulation environments. Due to the uncertainty of power system behavior, the events such as transmission line outage can cause the transfer capability to decrease. Accordingly, transmission capability analysis needs a statistical forecast for an expected range of transfer capability. Thus, it is necessary to study TTC problem from a probabilistic point of view and consider the probabilistic feature of the power systems and the related contingencies.