Control of hybrid energy storage system in DC microgrid using energy and power management

Abstract

The global transition towards sustainable energy solutions has significantly accelerate d the development and integration of renewable energy sources into power systems. Among these systems, DC microgrids have emerged as a promising technology due to their efficiency, reliability, and ability to integrate diverse renewable energy sources such as solar and wind power. This shift is driven by the urgent need to address the environmental impacts of conventional fossil fuel-based energy generation and to enhance energy security. DC microgrids offe rseveral advantages ,including reduced energy losses ,improved power quality, and enhanced flexibility in energy management .These benefits a reparticularly crucial in applications ranging from residential and commercial buildings to remote and off-grid areas. However, the effective operationo fD Cmicrogrid shinge son the integration of robust energy storage systems and advanced energy management strategies. In addition to energy storage, the implementation of sophisticated energy management systems (EMS) is essential for the optimal operation of DC microgrids. These systems employ various control algorithms and optimization techniques to manage the generation, storage, and consumption of energy efficiently.Power management systems (PMS ),which are integral to EMS, utilize artificial intelligence and other advanced methods to enhance the reliability and performance of microgrids.