Comparative Studies on a Fourteen-Bus Power System Between Conventional, Particle Swarm Optimization and Deep Learning Solutions for Optimal Allocation for Generation

Abstract

This research paper aims to find optimal allocation of active power to generator and estimate the transmission losses for the specific demand using three different computational techniques like conventional method which is Lambda Iteration method, Particle Swarm Optimization method and also Deep learning Method. These methods were applied to IEEE 14 bus test system. This test system was imposed different loading conditions and transmission losses were estimated.