Enhanced Validation of Intelligent Control Algorithms in AC Microgrids

Abstract

This article presents the development and application of a microgrid (MG) power system simulator, with an emphasis on AC MG systems. The simulator’s modeling intends to replicate the dynamic behavior MG and interactions of the MG’s various components, including generators, photovoltaic (PV) systems, energy storage units, and loads. The simulator is compatible with both reactive and active power set points from the controller, enabling a comprehensive analysis of the efficacy of the system. The simulation is correlated with direct field testing; this method offers numerous advantages. It provides a safe and cost-effective environment for conducting extensive simulations, thereby avoiding the potential risks and damages associated with conducting experiments in the real world. The flexibility and scalability of the simulator enable researchers to examine a wide variety of operating scenarios, test various control strategies, and assess the impact of system uncertainties. By utilizing the power system simulator’s capabilities, researchers can obtain valuable insights into the behavior of MGs. They are able to evaluate the efficacy of control algorithms in regulating voltage and frequency, managing power flows, and facilitating seamless transitions between grid-connected and isolated modes of operation. In addition, the simulator permits the identification of prospective obstacles and challenges, the evaluation of various control strategies, and the validation of system performance under a variety of operating conditions. The results of simulations run on the power system simulator provide valuable data for optimizing the design and operation of MGs. They contribute to improving the MG systems’ dependability, stability, and resilience. The power system simulator will continue to play a crucial role in the development and deployment of efficient and sustainable MG systems as modeling techniques and simulation capabilities advance.