A Hybrid Deep Learning Approach To Solve Optimal Power Flow Problem In Hybrid Renewable Energy Systems

This article discusses the use of the Particle Swarm Optimization Gravitational Search Algorithm (FPSOGSA) for improving voltage stability and reducing power losses and voltage variations in a 30-bus system. The proposed HDRL-QIGA algorithm is also presented for solving the Optimal Power Flow (OPF) problem in hybrid renewable energy systems (HRES). The algorithm combines Deep Reinforcement Learning (DRL) and Improved Quantum-Inspired Genetic Algorithm (IQGA) to handle uncertainties and non-linearities in the power system.