Optimal control design and management of complete DC- renewable energy microgrid system

Abstract

This paper presents an optimal control design for a DC-renewable Microgrid (DC-MG) system optimized by applying the Arithmetic Optimization Algorithm(AOA). This approach is proposed in this study to get the optimal PI controller design parameters for the DC-MG when connecting and disconnecting from the grid. The suggested system comprises a solar photovoltaic system(PVS), an Energy Storage System (ESS), a DC-AC inverter, DC load, LC filter, variable AC load, and a single-phase induction motor. The ESS is used to store energy in hydrogen form and is made up of a fuel cell system (FCS), an electrolyser, and a hydrogen tank module. The results are compared with those obtained from control system design using Particle Swarm Optimization(PSO), Cuckoo Search(CS), and Gray Wolf Optimizer (GWO) methodologies for a variety of test situations. The simulated results using AOA are more accurate and have less settling time, rise time, and overshoot compared to other techniques.

Keywords

• DC-microgrid system
• Constant power generation
• Particle Swarm Optimization
• Cuckoo Search technique
• Gray Wolf Optimization
• Arithmetic Optimization Algorithm