This study presents the energy management and control strategy in the islanded DC microgrid structure in the presence of renewable energy sources (RES) and battery storage units (BU). The BU control structure is planned by considering the state of charge (SOC) indicator of each BU. The proposed model based on sequential distributed energy management and multiple dynamic matrix model predictive control algorithm (MDMMPC) is deve. This study presents the energy management and control strategy in the islanded DC microgrid structure in the presence of renewable energy sources (RES) and battery storage units (BU). The BU control structure is planned by considering the state of charge (SOC) indicator of each BU. The proposed model based on sequential distributed energy management and multiple dynamic matrix model predictive control algorithm (MDMMPC) is developed. The MDMMPC algorithm is implemented for power control and management by local controllers. The energy management strategy is formulated by considering generation prioritization and minimal communication based on primary and secondary control objectives. The simulation results have been analyzed in different scenarios such as power generation changes, load changes, disconnection between participating units in energy supply and battery discharge. Also, a hardware-in-the-loop (HIL) environment along with an experimental setup based on the Micro Lab box and dSPACE control desk (DS1202) is presented. In experimental environment, by creating suitable coordination between the converter's behavior and the ESS unit inertia, it not only reduces the undesirable converter's fluctuations but also the converter's behavior is associated with the least overshoot. Simplicity, rapidity, ease of operation, and distributed control scheme are the important features of the experimental structure.••Two-layer power controller based on multiple dynamic matrix predictive control••Improving the dynamic behavior of RES units in the presence of energy storage system.••Improving the stability of DC microgrids based on sequential power distribution.DC micro-gridDynamic matrix controlMultiple-model predictive controlSecondary controllerPw Aerodynamic power of the windPt Mechanical power of the turbinePgn Nominal power of GUPpn Maximum extractable powers of PUPwn Maximum extractable powers of WUPLoad∗ Renewable energy sources (RES) is generally referred to those energy resources whose common characteristic is being interminable and recoverable in a definite ecosystem. In recent years, the growth of energy demand and the increase in environmental concerns have led to an increase in the use of RES. Significant efforts have been made in recent years to reduce the use of fossil fuels worldwide. And also the use of RESs has changed the structure of energy distribution systems. This issue has led to the modernization of the existing power system, along with rising energy demand and the appearance of new RES as well as widespread advances in power electronics. The appearance of distributed generation (DGs), electrical energy storage systems (EESS), and RES have allowed engineers to be able to reshape the current power grids. Nowadays, it is no longer necessary for all electricity producers and consumers to be connected to the integrated power grid. Connecting the electrical consumer to the DGs together with the energy storage unit will form the microgrids (MGs).MGs are the small model of the active distribution grid emerging in the modern power system. The MG idea due to the integration of DGs such as photovoltaic panels, wind turbines, and batteries has become a noteworthy choice that can be in the forms of grid-connected or stand-alone. The variety of energy res.
