Genetic Algorithm Based ATC Enhancement Strategy

Abstract

In a modern electrical network, there is a focus to restructure the electric power industry in order to promote competitive bidding in power transactions. The market players are forced to operate their facilities at a higher efficiency. It demands dependable and accurate information about network capability for further safe commercial activity over and above the already committed uses. This is precisely defined as Available Transfer Capability (ATC) Therefore, transmission networks demand an adequate ATC to ensure all economic transactions while sufficient ATC is needed to support free market trading and maintain an economical and secure operation over an extensive range of system conditions and constraints. There are different methods proposed by researchers to enhance the ATC for the assumed transactions. However the role of intelligent strategies appears to be attractive and require investigations to credit its preference. In this article the Genetic Algorithm (GA) based ATC enhancement strategy is envisaged.

Keywords: available transfer capability, genetic algorithm, independent system operator, power market, power transactions.