An Efficiency Improvement Strategy for Triple-Active-Bridge-Based DC Energy Routers in DC Microgrids
Abstract
:1. Introduction
2. The Topology and Working Principle of TAB-DCER
2.1. Control Strategy of TAB-DCER
2.1.1. SPS Control Strategy
2.1.2. Phase-Shifted Plus PWM Control
2.2. Power Flow Analysis of TAB-DCER-based DC Microgrids
3. Optimal Control of the RMS Value of the Inductor Current for TAB-DCER
3.1. The Optimal Mathematical Model of the RMS Value of the Inductor Current for TAB-DCER Based on Circuit Decomposition
- Mode 1, ,
- Mode 2, ,
- Mode 3, ,
- Mode 4, ,
- Mode 5, ,
3.2. Optimal Control of the RMS Value of the Inductor Current
4. Simulation and Experimental Verification
4.1. Simulation Analysis of Power Coordination Control in TAB-DCER
4.2. Simulation Verification and Analysis of GAOS Control Strategy
4.3. Experimental Validation and Analysis
5. Conclusions
- The sum of squares of the RMS value of the inductor current of the TAB-DCER is related only to the phase shift angle between the ports and the duty cycle of the switching tubes. TAB-DCER can quickly adjust the load power according to the working condition to keep the system running stably and realize power-coordinated control when the working condition of these system changes.
- The circuit decomposition model based on PS-PWM control effectively reduces the difficulty of analyzing TAB-DCER. In addition, the use of a genetic algorithm reduces the complexity and computational difficulty of the mathematical model for optimization of the RMS value of the inductor current.
- The GAOS control strategy proposed in this paper can effectively reduce the sum of squares of the RMS value of the inductor current, decrease converter pass-state losses of the TAB-DCER, and improve the power transfer efficiency of TAB-DCER.
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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Parameter | Numeric Value |
---|---|
Population size | 100 |
Evolutionary algebra | 50 |
Crossover probability | 0.6 |
Probability of variation | 0.01 |
Parameter | Stats |
---|---|
(V) | 120 |
(V) | 120 |
(V) | 240 |
(Hz) | 20,000 |
1:1:2 | |
(Μh) | 21.33, 21.33, 85.32 |
Parameter | Stats |
---|---|
(V) | 120 |
(V) | 120 |
(V) | 240 |
(Hz) | 5000 |
1:1:2 | |
Power transmission inductance L1: L2: L3 (Μh) | 21.33 |
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Meng, X.; Duan, Q.; Sha, G.; Zhao, C.; Wang, H.; Wang, X.; Lan, Z. An Efficiency Improvement Strategy for Triple-Active-Bridge-Based DC Energy Routers in DC Microgrids. Electronics 2024, 13, 1172. https://doi.org/10.3390/electronics13071172
Meng X, Duan Q, Sha G, Zhao C, Wang H, Wang X, Lan Z. An Efficiency Improvement Strategy for Triple-Active-Bridge-Based DC Energy Routers in DC Microgrids. Electronics. 2024; 13(7):1172. https://doi.org/10.3390/electronics13071172
Chicago/Turabian StyleMeng, Xiaoli, Qing Duan, Guanglin Sha, Caihong Zhao, Haoqing Wang, Xueli Wang, and Zheng Lan. 2024. "An Efficiency Improvement Strategy for Triple-Active-Bridge-Based DC Energy Routers in DC Microgrids" Electronics 13, no. 7: 1172. https://doi.org/10.3390/electronics13071172
APA StyleMeng, X., Duan, Q., Sha, G., Zhao, C., Wang, H., Wang, X., & Lan, Z. (2024). An Efficiency Improvement Strategy for Triple-Active-Bridge-Based DC Energy Routers in DC Microgrids. Electronics, 13(7), 1172. https://doi.org/10.3390/electronics13071172