An Ultra-High DC-DC Converter with ANFIS-Based Control for Performing the DC Bus Voltage of Hybrid Multi-Type Renewable Energy Source (RES)

The DC bus network plays a crucial role in hybrid multi-type Renewable Energy Source (RES). This network integrates various RESs with different characteristics. A key issue in this network is voltage instability due to the intermittency of RESs. This instability becomes more pronounced when the hybrid system includes RESs with different characteristics, such as those of PV and WT. This paper discusses an ultra-high DC-DC converter equipped with an Artificial Neuro Fuzzy Inference System (ANFIS) based on control algorithm for regulating the DC bus voltage. The proposed system includes a Fuel Cell (FC) equipped with an ANFIS-based control system, along with photovoltaic (PV) and Wind Turbine (WT) systems. This converter increases the FC output voltage to maintain optimal DC grid performance. The converter is made up of a clamp circuit, a multiplier voltage cell, and quadratic boost converters. The ANFIS control algorithm and the system configuration are applied to ensure continuous meeting of load demands. They are used to enhance the quality of DC grid performance, given the complexity of the hybrid multi-type RES. The ANFIS control system of this converter consistently maintains a steady DC bus voltage at the reference value of 400 volts, with a tolerance of 2.5%.