Control parameter optimization for a microgrid system using particle swarm optimization

Abstract

Microgrids are new concept of electric power networks consisting of distributed generators, renewable energy sources and sensitive loads. The goal of microgrid operation is to provide reliable and high-quality electric power regardless of faults or abnormal operating conditions. This paper presents control schemes for coordination of multiple microgrid generators, especially with voltage source inverter type interface, for both grid-connected and autonomous modes. To maintain required control performance and power quality during severe conditions, excessive trial-and-error-based repeated tuning process is required. This paper proposes an effective optimal control parameter-tuning method using the particle swarm optimization (PSO) algorithm. Requirements of power quality and load following performance during the island operation are considered in the PSO tuning.