Load Shedding in Microgrid System with Combination of AHP Algorithm and Hybrid ANN-ACO Algorithm

This paper proposes a new load shedding method based on the application of intelligent algorithms, process calculating and is carried out in two stages. Stage-1 uses backpropagation neural network to classify faults system, thereby determining whether or not shed that particular case. Stage-2 an artificial combined with ant colony algorithm (ANN-ACO) determine strategy. The AHP applied propose strategies ranking importance loads system. proposed article helps solve integrated problem shedding, classifying fault proposing correct strategy for load. IEEE 25-bus 8-generator power system used simulate test effectiveness method, results show frequency recovery good allowable range.