As human beings are advancing in technology the demand for power is drastically increasing. To cope up with these increasing energy demands renewable energy was included in the power system in the early 20th century. A rise in the usage of renewable energy sources for power production has been motivated by concerns about global climate change and air pollution. These new sources of renewable energy are in high demand for creating microgrids that give energy independence to remote populations. If these microgrids are to be successful, they must be able to function in either an isolated or a linked state. These standards are very difficult to meet. Small and medium power networks in isolated mode are, in fact, very susceptible to variations in consumer power demand and changes in the power generated by generators. Two independently regulated solar power sources, power storage, as well as a resistive load are all included in this study’s distributed photovoltaic (DP) system design. Sliding mode controllers are used to regulate the cascaded DC-DC boost converters on each PV panel. A DSM-PI controller and a PI-sliding mode controller will be used to regulate power converters that connect the source and the common DC bus. Using numerical simulations, this research compares the MPPT algorithm’s performance in each operating state to the accuracy of the supervisory controller. The DSM-PI controller is more efficient as compared to conventional sliding mode controller. All the results are generated using MATLAB Simulink software.