A Novel Isolated Intelligent Adjustable Buck-Boost Converter with Hill Climbing MPPT Algorithm for Solar Power Systems

Abstract

This study proposes a new isolated intelligent adjustable buck-boost (IIABB) converter with an intelligent control strategy that is suitable for regenerative energy systems with unsteady output voltages. It also serves as a reliable voltage source for loads such as battery systems, microgrids, etc. In addition, the hill climbing (HC) maximum power point tracking (MPPT) algorithm can be utilized with this innovative IIABB converter to capture the MPP and then enhance system performance. In this converter, five inductors (LA, LB, LC, LD, and LE) and four power MOSFETs (SA, SB, SC, and SD) are used in the proposed novel isolated intelligent adjustable buck-boost (IIABB) converter to adjust the applied voltage across the load side. It also has a constant, stable output voltage. The new IIABB converter is simulated and verified using MATLAB R2021b, and the performances of the proposed IIABB converter and conventional SEPIC converter are compared. The solar photovoltaic module output voltages of 20 V, 30 V, and 40 V are given as inputs to the proposed IIABB converter, and the total output voltage of the proposed converter is 48 V. In the new IIABB converter, the duty cycle of the power MOSFET has a small variation. The proposed IIABB converter has an efficiency of 92~99%. On the other hand, in the conventional SEPIC converter, the duty cycle of a power MOSFET varies greatly depending on the relationship between the output and input voltage, which deteriorates the efficiency of the converter. As a result, this research contributes to the development of a novel type of IIABB converter that may be employed in renewable energy systems to considerably increase system performance and reduce the cost and size of the system.

Maximum Power Point Tracking of Photovoltaic Generation System Using Improved Quantum-Behavior Particle Swarm Optimization

“…Given the stochastic nature of the four biomimetic algorithms, the experiments are repeated one thousand times to ascertain optimal parameters. Tracking time is defined as the duration required for the steady-state error to decrease to 1%, while tracking accuracy is quantified according to Equation (12).…”

“…To date, several MPPT methodologies have been proposed, such as the perturb and observe (P and O) technique [8][9][10], the hill climbing approach [11,12], and the incremental conductance method [13,14], among others. Despite their simple calculations, these methods may fail to accurately reach the MPP and achieve a balance between tracking speed and steady-state oscillation.…”

A Proposed Single-Input Multi-Output Battery-Connected DC–DC Buck–Boost Converter for Automotive Applications

“…These converters encompass diverse isolation techniques, such as transformer-based [23] and coupled-inductor topologies [24], each accompanied by their distinct advantages and tradeoffs. Foremost among the benefits of isolated buck-boost converters is their competence in ensuring galvanic isolation, thus mitigating the risk of electrical shock and reducing the potential for ground faults [25][26][27]. The role of isolation extends to curtailing electromagnetic interference (EMI) and radiofrequency interference (RFI) by containing electrical noise within the converter, particularly invaluable in EVs housing sensitive electronic components and communication systems, necessitating a low-noise environment to ensure peak performance.…”