Multi-mode Control Strategy for Dual Active Bridge Bidirectional DC-DC Converters

2019 ◽  
pp. 71-78
Author(s):  
Yaguang Zhang ◽  
Yong Du
Keyword(s):  
Control Strategy ◽  
Mode Control ◽  
Dual Active Bridge ◽  
Multi Mode

A novel digital multi-mode control strategy with PSM for primary-side flyback converter

2016 ◽  
Vol 104 (5) ◽  
pp. 840-854 ◽  
Author(s):  
Shen Xu ◽  
Dandan Ni ◽  
Shengli Lu ◽  
Weifeng Sun
Keyword(s):  
Control Strategy ◽  
Flyback Converter ◽  
Mode Control ◽  
Multi Mode

A Multi-Mode Control Strategy for VAr Support by Solar PV Inverters in Distribution Networks

2015 ◽  
Vol 30 (3) ◽  
pp. 1316-1326 ◽  
Author(s):  
M. J. E. Alam ◽  
K. M. Muttaqi ◽  
D. Sutanto
Keyword(s):  
Control Strategy ◽  
Distribution Networks ◽  
Solar Pv ◽  
Mode Control ◽  
Multi Mode

scholarly journals Island DC Microgrid Hierarchical Coordinated Multi-Mode Control Strategy

Energies ◽  
2019 ◽  
Vol 12 (15) ◽  
pp. 3012 ◽  
Author(s):  
Zhongbin Zhao ◽  
Jing Zhang ◽  
Yu He ◽  
Ying Zhang
Keyword(s):  
Power Systems ◽  
Control Strategy ◽  
Voltage Stability ◽  
Dc Microgrid ◽  
Dc Microgrids ◽  
Mode Control ◽  
Load Power ◽  
Power Dispatch ◽  
Operation Modes ◽  
Multi Mode

As renewable energy sources connecting to power systems continue to improve and new-type loads, such as electric vehicles, grow rapidly, direct current (DC) microgrids are attracting great attention in distribution networks. In order to satisfy the voltage stability requirements of island DC microgrids, the problem of inaccurate load power dispatch caused by line resistance must be solved and the defects of centralized communication and control must be overcome. A hierarchical, coordinated, multiple-mode control strategy based on the switch of different operation modes is proposed in this paper and a three-layer control structure is designed for the control strategy. Based on conventional droop control, a current-sharing layer and a multi-mode switching layer are used to ensure the stable operation of the DC microgrid. Accurate load power dispatch is satisfied using a difference discrete consensus algorithm. Furthermore, virtual bus voltage information is applied to guarantee smooth switching between various modes, which safeguards voltage stability. Simulation verification is carried out for the proposed control strategy by power systems computer aided design/electromagnetic transients including DC (PSCAD/EMTDC). The results indicate that the proposed control strategy guarantees the voltage stability of island DC microgrids and accurate load power dispatch under different operation modes.

A Multi-mode Control Strategy for EV Based on Typical Situation

2017 ◽  
Author(s):  
Zhenhai Gao ◽  
Tianjun Sun ◽  
Lei He
Keyword(s):  
Control Strategy ◽  
Typical Situation ◽  
Mode Control ◽  
Multi Mode

Advanced Multi-Mode Control Strategy for a Parallel Hybrid Electric Vehicle Based on Driving Pattern Recognition

2003 ◽  
Author(s):  
Soonil Jeon ◽  
Jang-Moo Lee ◽  
Yeong-Il Park
Keyword(s):  
Pattern Recognition ◽  
Electric Vehicle ◽  
Predictive Control ◽  
Control Strategy ◽  
Hybrid Electric Vehicle ◽  
Control Parameters ◽  
Mode Control ◽  
Driving Pattern ◽  
On Line ◽  
Multi Mode

The adaptive multi-mode control strategy (AMMCS) is defined as the control strategy that switches control parameters for the purpose of adjusting vehicles to diverse traffic conditions and driver’s habits. This strategy is composed of off-line and on-line procedures. In the off-line procedure, several sets of control parameters are optimized under representative driving patterns (RDP). In the on-line procedure, the control parameter switching or interpolation is periodically activated based on the driving pattern recognition (DPR) algorithm, assuming that the driving pattern during the future control horizon doesn’t change significantly compared to the past pattern. The AMMCS is conceptually similar to one of predictive control theories, namely the receding horizon control which is also known as model predictive control. The AMMCS is expected to be applied well to hybrid electric vehicle (HEV) system which is very sensitive to driving patterns. Furthermore, the AMMCS can be combined with the two conventional control strategies using global and local optimization techniques to improve performances further. The design goal of the AMMCS is to minimize fuel consumption and NOx for a pre-transmission single shaft parallel HEV.

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