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.
