A Multi-Stage Accelerated Quantum Particle Swarm Optimization for Planning and Operation of Static Var Compensators

By the employment of quantum mechanics, this paper proposes a Multi-Stage Accelerated Quantum Particle Swarm Optimization (MSAQPSO) to maximize savings due to electrical power losses reduction, which is subject to bus voltage constraints. The methodology incorporates Static Var Compensators (SVCs) integrated in a power system. The optimization problem is solved using a novel algorithm which consist of two stages. The first stage or the outer layer determines the optimum number, sizing, and placement of the SVCs. The second stage or the inner layer determines the optimum operation of the SVCs. The results reveal that the approach is feasible, and the optimization turns out to be fast and robust in comparison to the classical Particle Swarm Optimization (PSO).