Trace most sensitive power transaction for optimized value of Available Transfer Capability with a combined approach of artificial intelligent techniques and statistical model analysis

摘要

The optimized value of Available Transmission Capability calculation is noisy (Imperfect) with the help of Roulette Wheel Selection Based Genetic algorithm. To overcome this noisy fitness problem, Tournament Selection Based Genetic algorithm is proposed in this paper. The Random Transactions are to be made between sources to destination node to evaluate the optimized value of Available Transmission Capability. The objective function taken here is to maximize the value of Available Transmission Capability of power line with the secured transactions. In this proposed methodology, dataset of the Transactions and value of ATC can be used to frame statistical model with regression analysis. One can predict most sensitive transaction among all transactions with this statistical model analysis. A more reliable transmission system with utmost safety can be obtained. The projected method is applied to an IEEE 30 bus test system.