Regresar

Voltage stability analysis based on optimal placement of multiple DG types using hybrid optimization technique

Abstract:

This article proposes a hybrid analytical and metaheuristic optimization technique for optimal allocation of multiple types of distributed generator (DG) in radial distribution networks. DG integration aims to minimize the total power losses and enhance the voltage stability of the distribution system. The proposed technique is formulated using the analytical technique which utilizes the exact loss formula to calculate the initial DG size at a certain bus. However, the analytical technique may not be proper to allocate multiple DGs types due to the mass of calculations, hence, a metaheuristic optimization technique named Tree Growth Algorithm (TGA) is combined with the analytical technique to find the final solution of optimal DG locations and sizes. The hybridization between the analytical and metaheuristic optimization techniques combines the advantages of both techniques and eliminates the disadvantages. The proposed hybrid Analytical TGA (ATGA) is validated using the stranded radial distribution feeders, IEEE 33-bus and 69-bus and practical 94-bus Portuguese system. A comprehensive comparison between the proposed technique and other competitive optimization techniques is carried out to prove its effectiveness. The result shows that the proposed hybrid ATGA is efficient to allocate the multiple DGs types with minimum power loss and a high convergence rate.