Multi-layer feedforward neural network-based ATC estimator

Deregulation has a great impact on the electric power industry around the world. Bilateral contract is one of the transaction modes in deregulated markets. The independent system operator (ISO), responsible for ensuring the secure, economic, and efficient dispatches, has to provide the information about the available transfer capability (ATC) for bilateral contract customers. However, a large number of calculations based on power flow approach is required to calculate the ATC. In this paper, a method based on multi-layer feedforward neural network (MFNN) and generation shift factor (GSF) as well as outage transfer distribution factor (OTDF) is used to estimate the ATC. The simulation results obtained from a 6-bus and the IEEE 30-bus system show the applicability of the proposed method.