ORIGINAL RESEARCH article
Front. Energy Res.
Sec. Solar Energy
An efficiency improvement method for the TAB converter based on the minimization of fundamental reactive power
Provisionally accepted
- 1China Southern Power Grid Guizhou Power Supply Co Ltd, Guiyang, China
- 2XJ Electric Co Ltd, Xuchang, China
- 3Hunan University of Technology, Zhuzhou, China
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With the advantages of simple topology, voltage matching, electrical isolation, and bi-directional energy control, the Triple Active Bridge (TAB) has become an active area of exploration and research for the flexible interconnection of DC ports, such as solar energy and energy storage devices. The backflow power is substantial in the conventional dual-phase shift (DPS) control strategy of the TAB converter, resulting in an increase in the RMS current and loss in the converter. To address this problem, this paper, from a different perspective, constructs the fundamental reactive power of TAB and proposes an optimal triple-phase shift (TPS) control strategy designed to minimize the fundamental reactive power. The basic principle of the TAB converter is described, and the mathematical model of the fundamental reactive power is constructed using Fourier decomposition and phasor analysis. The expressions for fundamental reactive power at the output port are then obtained. Furthermore, the particle swarm algorithm is utilized to solve the optimal problem in a global context, and a corresponding control strategy is developed. By changing the load power, the response characteristics of the output port under the DPS control strategy and the optimization control strategy proposed in this paper are compared and analyzed. Simulation and experimental results show that the optimization control strategy proposed in this paper can effectively reduce the fundamental reactive power at the output port and improve system efficiency.
Keywords: Triple Active Bridge, DC-DC converter, Efficiency improvement, Intelligentalgorithm, DC microgrid
Received: 10 Aug 2025; Accepted: 10 Nov 2025.
Copyright: © 2025 Feng, Li, Lin, Zhang, Zhang and Yu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Jia Li, lj110011@126.com
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