Design Of DC Microgrid and Analysis
In the evolving era, microgrid wins the heart in all power fields. Among that DC configuration achieved more demand because of its less complex structure, low cost, more reliability, and more power quality and last but not the least the control scheme is less complex than AC microgrid. Management of power and energy are the evolving traits adopted by researchers now a days. This project mainly aims at the comparative analysis of different topologies, structure, and operational mode of DC microgrid. Despite the global energy crisis and the increasingly atmospheric pollution, distributed generation integration with renewable energy is becoming a potential trend in technology. Finally, attention has been paid to the recent challenges to the DC microgrid system. DC loads have proliferated rapidly on the market today and DC micro grids with renewable energies are being built as a potential solution to meet the rising demand for electricity. As different energy sources such as solar, wind, fuel cell, and diesel generators can be incorporated into the DC grid, it is important to control the power flow between the sources. An attempt is made in this project to study the hybrid system consisting of a three energy sources, namely wind energy, photovoltaic power source and Battery. Each of the three energy sources is controlled to deliver uninterrupted power supply to the load. A control strategy for the management of power flows with solar and wind energy sources in DC micro grid are discussed. Given that voltage profile regulation is critical in a standalone system, a dedicated converter should be used to maintain the voltage of the DC connection. The battery circuit regulates DC charging voltage, while the full power is derived from Solar and Wind to power the attached DC bus charges. An algorithm is developed to manage power flow between three outlets. The algorithm is evaluated in MATLAB/ SIMULINK environments for different charging conditions and variations in solar and wind energy.
Institutions
- Yeovil College (GB)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-06-17
- DOI
- https://doi.org/10.5281/zenodo.16419087
- Primary Topic
- Microgrid Control and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00