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Control strategy for high speed flywheel energy storage system

The regenerative braking quantification, design control, and simulation of a hybrid energy storage system for an electric vehicle in extreme conditions is presented Taking the urban rail transit metro in a certain area (4M2T) as an example, the relationship between the running speed of metro and the speed of traction asynchronous motor is

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A Novel Architecture of Urban Rail Transit Based on Hybrid Energy Storage

DOI: 10.1109/ESARS-ITEC.2018.8607728 Corpus ID: 58013455 A Novel Architecture of Urban Rail Transit Based on Hybrid Energy Storage Systems Using Droop Control @article{Liu2018ANA, title={A Novel Architecture of Urban Rail Transit Based on Hybrid Energy Storage Systems Using Droop Control}, author={Ran Liu and Lie Xu and

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Hybrid energy management strategy based on dynamic setting

Due to the short distance between stations, frequent acceleration and braking for urban rail trains cause voltage fluctuation in the traction network and the regenerative brak-ing

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Electronics | Free Full-Text | Urban Rail System Modeling and Simulation Based on Dynamic Train

To further improve the simulation calculation ability of urban rail traction systems during the peak operation period and provide an accurate and reliable simulation tool for the subsequent train schedule and energy storage system design, a multi-train circuit model with a bilateral power supply was established in this paper, and a power

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A Real-time MPC-based Energy Management of Hybrid Energy Storage System in Urban Rail

The most challenges for the hybrid energy storage system made up of the battery and super capacitor (SC) are the reasonable energy management strategy (EMS) and real-time implementation. Therefore, a variable-step multistep prediction MPC-based energy management strategy is proposed in this paper, which minimizes the system energy

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A Novel Architecture of Urban Rail Transit Based on Hybrid Energy

In this paper, a novel architecture of urban rail transit based on hybrid energy storage system (H-ESS) is proposed. Supercapacitor (SC) and UPS are used to smooth the

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Power dynamic allocation strategy for urban rail hybrid energy storage

In urban rail transit, hybrid energy storage system (HESS) is often designed to achieve "peak shaving and valley filling" and smooth out DC traction network power fluctuation. In this paper, a variable gain K iterative learning control (K-ILC) is proposed to balance the DC regulated voltage characteristics and the optimal lifetime of the

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Experimental investigation into the effectiveness of a super-capacitor based hybrid energy storage system for urban

The operations of the hybrid energy storage system, when supplying the considered vehicle on urban driving cycles, has been controlled through three main rule based energy management strategies. The performance of each EMS have been evaluated and compared through the well known effectiveness objective function, which takes into

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Power Allocation Strategy for Urban Rail HESS Based on Deep

Abstract: A hybrid energy storage system (HESS) is adopted to tackle the traction network voltage fluctuation problem caused by high power and large energy demand during the

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Energy management strategy of hybrid energy storage system for

This study aims to examine the significant impact of the frequent starting and braking of the urban rail trains on the voltage of the traction network. A hybrid energy storage system

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Regenerative Braking Modeling, Control, and Simulation of a Hybrid

The paper will present the regenerative braking quantification, design control and simulation of a hybrid energy storage system (HESS) for an Electric Vehicle (EV) in extreme conditions.

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Energy management strategy of urban rail hybrid energy storage

Energy management strategy of urban rail hybrid energy storage system based on fuzzy logic system Qinglu Meng 1 and Siming Wang 1 Published under licence by IOP Publishing Ltd Journal of Physics: Conference Series, Volume 2708, 2023 6th International Conference on Power Electronics and Control Engineering 10/11/2023 -

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Power dynamic allocation strategy for urban rail hybrid energy storage

Abstract: In urban rail transit, hybrid energy storage system (HESS) is often designed to achieve "peak shaving and valley filling" and smooth out DC traction network power fluctuation. In this paper, a variable gain K iterative learning control (K-ILC) is proposed to balance the DC regulated voltage characteristics and the optimal lifetime of the battery

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Holistic energy simulation and optimization tool for urban rail

A unique holistic energy simulation and optimization tool for urban rail vehicles with user-friendly GUI was presented. Its modular urban rail vehicle model

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A Novel Architecture of Urban Rail Transit Based on Hybrid Energy

Low-pass-filter (LPF) of adaptive coefficient control schemes and voltage-shifting method for battery state-of-charge (SOC) recovery are proposed to enhance performance of the H-ESS. Urban rail transit plays an important role in modern life and consumes a massive amount of energy every day. It is essential to guarantee the high

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Energy-efficient train control incorporating inherent reduced

Similar to urban rail transits, Model I has higher traction energy consumption and can recover more braking energy compared to Model II. The speed at the start of the braking phase decreases from high to low in sequential order from Model I to Model IV, corresponding to 207 km/h, 205.98 km/h, 203.02 km/h, and 201.87 km/h,

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Energy storage devices in hybrid railway vehicles: A kinematic analysis

The outputs from the simulator have been inputted into a series hybrid model, which has been optimized to preserve the state of charge of the energy storage device over a single typical rail journey. The analysis suggests the energy savings of up to 28 per cent for high-speed intercity vehicles and 35 per cent for commuter vehicles are

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(PDF) Model of a Composite Energy Storage System for Urban Rail

The total capacitance is reduced by 12.1%, the battery life is prolonged by 18.86%, and the optimised composite power supply''s energy storage is increased by 17.6%. Corresponding Author: Liang

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Power dynamic allocation strategy for urban rail hybrid energy storage

In urban rail transit, hybrid energy storage system (HESS) is often designed to achieve "peak shaving and valley filling" and smooth out DC traction network power fluctuation. In this paper, a variable gain K iterative learning control (K-ILC) is proposed to balance the DC regulated voltage characteristics and the optimal lifetime of the battery storage system in

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Modeling and simulation of photovoltaic powered battery-supercapacitor hybrid energy storage

Further, mostly literature considered the combinations such has battery-SC, Battery- PV as energy storage devices and battery-SC-PV hybrid system has not been considered for energy storage. The paper proposed three energy storage devices, Battery, SC and PV, combined with the electric vehicle system, i.e. PV powered battery-SC

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Energy-Efficient Train Control with Onboard Energy Storage Systems considering Stochastic Regenerative Braking Energy

In addition, regenerative braking energy utilization is becoming increasingly important to avoid energy waste in the railway systems, undermining the sustainability of urban railway transportation. However, the intelligent energy management of the trains equipped with OESSs considering regenerative braking energy utilization is

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Energy | Vol 245, 15 April 2022 | ScienceDirect by Elsevier

Power dynamic allocation strategy for urban rail hybrid energy storage system based on iterative learning control. Xin Wang, Yingbing Luo, Bin Qin, Lingzhong Guo. Article 123263 select article Analysing the potential of a simulation-based method for the assessment of CO<sub>2</sub> savings from eco-innovative technologies in light

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Control Strategy of Flywheel Energy Storage Arrays in Urban Rail

The flywheel energy storage arrays (FESA) is an effective means to solve this problem, however, there are few researches on the control strategies of the FESA. In this paper, firstly analyzed the structure and characteristics of the urban rail transit power supply systems with FESA, and established a simulation model.

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(PDF) Sizing and Energy Management of On-Board

Graber et al. [26] undertook a comprehensive study on the sizing and energy management of on-board hybrid energy storage systems (H-ESS) tailored for urban rail transit. Their design integrated a

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Energy management strategy optimization for hybrid energy storage

Therefore, the use of energy-storage traction power supply technology can achieve good results in urban construction [[3], [4], [5]]. Tram with energy storage is the application of energy storage power supply technology, the

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Hybrid energy management strategy based on dynamic setting and coordinated control for urban rail

Due to the short distance between stations, frequent acceleration and braking for urban rail trains cause voltage fluctuation in the traction network and the

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A Novel Architecture of Urban Rail Transit Based on Hybrid Energy Storage Systems Using Droop Control

Urban rail transit plays an important role in modern life and consumes a massive amount of energy every day. It is essential to guarantee the high power quality and reliability of the system and maximize energy utilization. Traditional power supply architecture has problems of large fluctuation of power and grid voltage, a waste of braking energy and low

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Sizing and energy management of on-board hybrid energy storage

Currently, lithium batteries are characterized by higher energy density but they require an accurate charge and discharge profile to increase its lifetime, and it is not easily to be obtained feeding urban railway systems. On the other hand, supercapacitors are powerful components, which can deliver very high power pulse for both traction and braking

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Energy-efficient train control incorporating inherent reduced-power and hybrid braking characteristics of railway

Similar to urban rail transits, Model I has higher traction energy consumption and can recover more braking energy compared to Model II. The speed at the start of the braking phase decreases from high to low in sequential order from Model I to Model IV, corresponding to 207 km/h, 205.98 km/h, 203.02 km/h, and 201.87 km/h,

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Improved multi-objective grasshopper optimization algorithm and

The proposed SACLMOGOA has been applied to the capacity configuration of the urban rail hybrid energy storage systems of Changsha Metro Line 1

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Review on Energy Management Strategies of On-Board Hybrid Energy

The optimal power thresholds obtained from model simulation, algorithm optimization, and other methods are used to distribute power in the corresponding interval . Jia, Z.D.: A real-time MPC-based energy management of hybrid energy storage system in urban rail vehicles. Energy Procedia 152(1), 526–531 (2018). (in Chinese)

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Efficient Utilization of Regenerative Energy in Urban Rail Transit

Abstract: Recovering regenerative braking energy is a very effective way to reduce energy consumption of urban rail transit system(URTS). In this paper, modeling and control

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