| _version_ | 1866901420189417472 |
|---|---|
| author | K R Sridhar, Dr.N.Ashok Kumar, Dr.R.Malathi |
| author_facet | K R Sridhar, Dr.N.Ashok Kumar, Dr.R.Malathi |
| contents | <p>This paper presents the modeling, simulation, and comparative analysis of a DC microgrid system under healthy and faulty conditions. The system incorporates renewable energy sources such as PV, wind, fuel cells, and battery storage, regulated through a Quadratic Boost Converter (QBC). Faults including shorted switch, line-to-line, and line-to-ground conditions are analyzed through MATLAB/Simulink simulations. Control strategies including Proportional-Integral (PI), Fractional Order PID (FOPID), and Fuzzy Logic (FL) controllers are implemented to regulate output parameters. The FOPID and FL controllers<br>showed improved transient response compared to conventional PI control. Results demonstrate </p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15408438 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Analysis and Control of DC Microgrid Using Quadratic Boost Converter with Intelligent Controllers K R Sridhar, Dr.N.Ashok Kumar, Dr.R.Malathi <p>This paper presents the modeling, simulation, and comparative analysis of a DC microgrid system under healthy and faulty conditions. The system incorporates renewable energy sources such as PV, wind, fuel cells, and battery storage, regulated through a Quadratic Boost Converter (QBC). Faults including shorted switch, line-to-line, and line-to-ground conditions are analyzed through MATLAB/Simulink simulations. Control strategies including Proportional-Integral (PI), Fractional Order PID (FOPID), and Fuzzy Logic (FL) controllers are implemented to regulate output parameters. The FOPID and FL controllers<br>showed improved transient response compared to conventional PI control. Results demonstrate </p> |
| title | Analysis and Control of DC Microgrid Using Quadratic Boost Converter with Intelligent Controllers |
| url | https://doi.org/10.5281/zenodo.15408438 |