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International Journal of Power and Energy Research
IJPER > Volume 3, Number 2, July 2019

Research on Energy Management Strategy of Hybrid Tramway Based on Double Fuzzy Logic Control

Download PDF  (1340.6 KB)PP. 15-25,  Pub. Date:September 6, 2019
DOI: 10.22606/ijper.2019.32001

Author(s)
SUN Mengmeng, YANG Jibin, PENG Anjin, SONG Pengyun, ZHANG Jiye
Affiliation(s)
College of Electrical & Information Engineering, Southwest Minzu University, Chengdu 610225, China
College of Electrical & Information Engineering, Southwest Minzu University, Chengdu 610225, China; State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu 610031, China
College of Electrical & Information Engineering, Southwest Minzu University, Chengdu 610225, China; College of Innovate & Entrepreneurship, Southwest Minzu University, Chengdu 610225, China
College of Electrical & Information Engineering, Southwest Minzu University, Chengdu 610225, China; State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu 610031, China
State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu 610031, China
Abstract
A catenary-battery-ultracapacitor powered hybrid modern tramway is studied. The fuzzy logic controller for the catenary zone and catenary-less zone is respectively designed by analyzing the structure and operation mode of the hybrid system, then an energy management strategy based on double fuzzy logic control is proposed to enhance the fuel economy. The hybrid modern tramway simulation system is developed based on MATLAB/Simulink environment, and operation of a researching hybrid modern tramway on a planned railway line is simulated to verify the performance of the hybrid modern tramway. The simulation results demonstrate that the proposed control strategy can satisfy the demand for train dynamic performance and achieve the power distribution reasonably between the power source. Compared with the rule-based control strategy, the energy consumption of catenary traction is reduced by 12.3% and the energy recovery rate is increased by 9.3%.
Keywords
Hybrid electric, tramway, energy management, double fuzzy logic control
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