Hybrid Genetic Algorithm Optimization Technique Augmented by Virtual Database for Evaluating Generation and Transmission Expansion Planning Problem

This paper presents a hybrid optimization technique in order to solve large scale mixed integer optimization problems. The aforementioned technique is modeled as a two-level optimization problem consists of a master problem and some slave sub-problems. In the proposed method، a virtual database has been considered in line with the master problem to store evaluated cases during simulation. The virtual database accelerates the simulation process and also could be incorporated in multi-processor simulators. Composite generation and transmission expansion planning problem is modeled as a dynamic mixed integer optimization problem has been considered here to evaluate the proposed technique. The simulation results show that the presented method is satisfactory and consistent with the expectation.