Power Management Strategy Based on Adaptive Droop Control for a Fuel Cell-Battery-Supercapacitor Hybrid Tramway

2018 ◽  
Vol 67 (7) ◽  
pp. 5658-5670 ◽  
Author(s):  
Qi Li ◽  
Tianhong Wang ◽  
Chaohua Dai ◽  
Weirong Chen ◽  
Lei Ma
Keyword(s):  
Fuel Cell ◽  
Power Management ◽  
Management Strategy ◽  
Droop Control ◽  
Power Management Strategy

Power Management for a Fuel Cell/Battery/Supercapacitor Hybrid Locomotive

2020 ◽  
Author(s):  
Qishen Zhao ◽  
Tianheng Feng ◽  
Dongmei Chen ◽  
Wei Li
Keyword(s):  
Fuel Cell ◽  
Power Management ◽  
Management Strategy ◽  
Stochastic Dynamic ◽  
Hybrid Powertrain ◽  
Power Sources ◽  
Management Framework ◽  
Power Management Strategy ◽  
Driving Cycles ◽  
Efficiency Performance

Abstract Electrification of locomotive with hybridized fuel-cell, battery and supercapacitor has drawn much attention from both the academia and industry. Unlike traditional powertrain, hybrid powertrain consists of multiple power sources with a complex drivetrain structure, various efficiency performance, and different dynamics. Therefore, it is necessary to develop a power management strategy to make sure each power source operates under a quasi-optimal condition and maximize the overall powertrain efficiency. This paper presents the development of a power management framework for a novel hybrid locomotive consisting of PEM fuel cell, battery, and supercapacitor. Both the equivalent consumption management strategy (ECMS) and the stochastic dynamic programming (SDP) are applied to solve for the optimal power split strategy. The resulted power management strategy is presented in the form of policy maps, which makes it convenient for real-time in-vehicle implementations. Simulation results indicate that the SDP demonstrates advantages over the ECMS in terms of equivalent hydrogen consumption over typical locomotive driving cycles.

scholarly journals Power Management in Hybrid Microgrid

2020 ◽  
Vol 9 (5) ◽  
pp. 1964-1969
Keyword(s):  
Power Management ◽  
Management Strategy ◽  
Load Sharing ◽  
Control Technique ◽  
Droop Control ◽  
Hybrid Microgrid ◽  
Management Algorithm ◽  
Power Management Strategy ◽  
Maximum Power Tracking ◽  
Bus Voltage

This paper is representing power management in a hybrid microgrid. The hybrid microgrid consists of PV, wind, battery, and grid. The power management strategy is mentioned in islanding and grid-connected mode. In a grid-connected system, the grid converter has to monitor and manage the power to flow between microgrid and grid. The voltage shifting based droop control technique is used in DG for proper load sharing when two sources are connected in parallel. DG units in hybrid microgrid have two switching modes including droop control and maximum power tracking (MPPT). The operation of a hybrid microgrid is operated in different thee mode. The bus voltage is the main carrier to switching the mode of a hybrid microgrid. The power management algorithm for hybrid microgrid described here. This renewable-based hybrid microgrid model can be used for different aspects like small residential and commercial buildings. The feasibility and effectiveness of this strategy for hybrid microgrid running in various modes verified by simulation result.

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