Available Transfer Capability (ATC) Under Deregulated Power Systems

The aim of this paper is to develop an approach to analyze the electricity transfer capability among different electricity markets using repeated power flow technique. Instead of minimizing the total cost in the conventional problem, the transfer capability between two markets or two electricity supplies or generation areas is maximized. The optimization shall be subjected to the operational constraints, however as the time taken by these traditional optimization methods are quite significant, but these methods may not be suitable for online application. To reduce the time required to compute transfer capabilities and also in order to take advantage of the superior speed of Artificial Neural Network (ANN) over conventional methods, the Radial Basis Function Network (RBFN)-based approach has been proposed to implement the transfer capability calculations. The results have been simulated by using MATLAB. And the results have been presented and compared with the conventional methods. It has been observed that the results obtained are a good agreement with the published work.