Optimal Coordinated Control of DC Microgrid Based on Hybrid PSO–GWO Algorithm

Microgrids (MGs) are capable of playing an important role in the future intelligent energy systems. This can be achieved by allowing effective and seamless integration distributed resources (DERs) loads, besides energy-storage systems (ESS) local area, so they gaining attraction worldwide. In this regard, a DC MG is economical, flexible, dependable solution requiring trustworthy control structure such as hierarchical strategy to appropriately coordinated used electrify remote areas. Two layers involved hierarchy strategy, including local- global-control levels. However, research focuses mainly on issues MG’s layer under various load interruptions power-production fluctuations, inaccurate power-sharing among sources unregulated DC-bus voltage microgrid, along with high ripple battery current. Therefore, work suggests developing levels for based hybrid particle swarm optimization/grey wolf optimizer (HPSO–GWO) algorithm address these problems. The key results simulation studies reveal that proposed scheme has significant improvement terms adjustment power distribution between photovoltaic (PV) technologies accompanied supercapacitor, comparison existing scheme. Moreover, settling time overshoot/undershoot minimized despite tremendous generation variations, which proves method’s efficiency.