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<p>For boosting the overall efficiency of these converters, selection of the optimal values of inner phase shift (<i>D</i><sub><i>1</i></sub>) and power angle (<i>D</i><sub><i>2</i></sub>) is being noticed as a new task for modern researchers. Therefore, in this paper, a system is simulated that incorporates permanent magnet synchronous generator (PMSG)-based wind energy conversion system (WECS) to supply the load demand and processes the required power through the DAB converter as a first approach. Secondly, a novel inner control loop is introduced in the designed cascade controller employing outer voltage control loop. A double load change is conducted with the extended phase shift (EPS) and double phase shift (DPS) modulation of DAB converter to test the control scheme. With this control scheme, input current drawn from the source is ensured as minimum as possible along with maintaining load voltage at a fixed level. Further, to maximize the efficacy of the DAB converter, a novel application of the Teaching Learning-Based Optimization (TLBO) method is implemented for determining the optimal values of <i>D</i><sub><i>1</i></sub> and <i>D</i><sub><i>2</i></sub>. The potency of the developed control scheme is aptly validated by employing a laboratory prototype of DAB converter where a TI-280049C microcontroller is used for implementing the propounded controller.</p>

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Enhancing the Efficiency of Dual Active Bridge Converter Connected to a Wind Energy Conversion System: An Experimental Comparative Study

  • 期刊论文

  • 发表日期：

    2025年6月2日

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  • Anupam Kumar,
  • Shubhendra Pratap Singh,
  • Diwaker Pathak,
  • Arun Rathore

摘要

For boosting the overall efficiency of these converters, selection of the optimal values of inner phase shift (D1) and power angle (D2) is being noticed as a new task for modern researchers. Therefore, in this paper, a system is simulated that incorporates permanent magnet synchronous generator (PMSG)-based wind energy conversion system (WECS) to supply the load demand and processes the required power through the DAB converter as a first approach. Secondly, a novel inner control loop is introduced in the designed cascade controller employing outer voltage control loop. A double load change is conducted with the extended phase shift (EPS) and double phase shift (DPS) modulation of DAB converter to test the control scheme. With this control scheme, input current drawn from the source is ensured as minimum as possible along with maintaining load voltage at a fixed level. Further, to maximize the efficacy of the DAB converter, a novel application of the Teaching Learning-Based Optimization (TLBO) method is implemented for determining the optimal values of D1 and D2. The potency of the developed control scheme is aptly validated by employing a laboratory prototype of DAB converter where a TI-280049C microcontroller is used for implementing the propounded controller.