This paper presents the output voltage control and execution of a novel non-isolated high step-up (NIHS) DC-DC converter connected to a solar photovoltaic (PV) based DC microgrid system. The proposed converter provides a high output voltage conversion ratio over smaller duty cycles, small inductors, low cost, and high efficiency to enhance the level of the generated voltages of PV. Also, to overcome the drawback of PV, the detailed operation of maximum power point tracking (MPPT) for the novel boost DC-DC converter topology is presented. A control algorithm, modified perturb and observe (MP&O), is put forward to assure that the maximum power is extracted from PV at any environmental condition. It regulates the output voltage of the PV system to the desired DC bus voltage. This technique is compared with the Incremental Conductance (INC) and conventional P&O algorithm in terms of their computational complexity and oscillations near maximum power point (MPP) using MATLAB & Simulink. The focus is on the continuous conduction mode of the proposed converter. To demonstrate the effectiveness of the proposed converter, operation modes, and technical analysis are conducted. Also, the experimental results of a 200 W-12V/120V, 25 kHz prototype are given and discussed to justify the suggested converter.

Due to the increasing penetration of distributed generation systems, the desire to use DC smart grids has increased. DC smart grids are preferred to AC grids because these networks are more compatible with renewable sources that generate DC electricity. This paper presents the design of a new three-port isolated DC-DC converter for photovoltaic (PV)-battery application in the DC smart grid. In the proposed converter, by combining the required converters for PV and battery, the number of required converters has been reduced so that the function of charging/discharging the battery, as well as tracking the maximum power point of solar panels, can be done with the proposed converter. As a result, the number of required parts and the cost of the system are reduced and the efficiency of the converter increases. Finally, the converter's performance has been evaluated with the help of analysis and simulation, and the obtained results indicate the proper performance of the proposed converter.

This paper proposes a multi-stage power generation system suitable for renewable energy sources, which is composed of a DC-DC power converter and a three-phase inverter. The DC-DC power converter is a boost converter to convert the output voltage of the DC source into two voltage sources. The DC-DC converter has two switches operates like a continuous conduction mode. The input current of DC-DC converter has low ripple and voltage of semiconductors is lower than the output voltage. The three-phase inverter is a T-type inverter. This inverter requires two balance DC sources. The inverter part converts the two output voltage sources of DC-DC power converter into a five-level line to line AC voltage. Simulation results are given to show the overall system performance, including AC voltagegeneration. A prototype is developed and tested to verify the performance of the converter.

In this paper, the immune controller is used to control the paralleled DC-DC converters. A PID controller is first applied and its coefficient is optimized using an intelligent (PSO) algorithm. Immune controller is then added to PID controller and an immune PID controller is formed. Two methods have been suggested to determine non-linear behavior of immune controller. In the first method, an exponential function is suggested and its unknown coefficient is optimized using PSO algorithm. In the second method, fuzzy logic has been used. Performance of the proposed control methods in the presence of various disturbances is investigated over a sample paralleled DC-DC converter and the effectiveness of the applied immune controller is verified with the comparison of simulation results. The results show that the improvement of system performance with immune PID controller by two suppression function in comparison with the PID controller.