6 results on '"Li Qunzhan"'
Search Results
2. Optimal Sizing and Energy Management of Hybrid Energy Storage System for High-Speed Railway Traction Substation
- Author
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Huang Xiaohong, Li Qunzhan, Sun Ke, Liao Qinyu, Tang Sida, and Yang Naiqi
- Subjects
Computer science ,Energy management ,020209 energy ,medicine.medical_treatment ,Particle swarm optimization ,020302 automobile design & engineering ,02 engineering and technology ,Traction (orthopedics) ,Automotive engineering ,Energy storage ,Traction power network ,0203 mechanical engineering ,Regenerative brake ,Traction substation ,Peaking power plant ,0202 electrical engineering, electronic engineering, information engineering ,medicine ,Electrical and Electronic Engineering - Abstract
Traction power fluctuations have economic and environmental effects on high-speed railway system (HSRS). The combination of energy storage system (ESS) and HSRS shows a promising potential for utilization of regenerative braking energy and peak shaving and valley filling. This paper studies a hybrid energy storage system (HESS) for traction substation (TS) which integrates super-capacitor (SC) and vanadium redox battery (VRB). According to the characteristics of the traction load under actual operating conditions, an energy management strategy with fixed-period control (FPC) is proposed, which fully leverages the periodicity and regularity of HSRS operation. To achieve the optimal size, economic feasibility is selected as the optimization objective, which is fully assessed in terms of Net Present Value (NPV). The optimization constraints are formulated in which the Discrete Fourier Transform (DFT) is performed for power allocation between SC and VRB. Besides, an improved mutation-based particle swarm optimization (IMBPSO) is proposed to efficiently solve the optimization and enhance convergence performance. Finally, combined with the measured traction load data, the effectiveness of the FPC energy management strategy is verified and the optimal scale of the HESS is provided.
- Published
- 2021
3. Optimal sizing and operation of hybrid energy storage systems in co‐phase traction power supply system considering battery degradation.
- Author
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Gao, Shengfu, Li, Qunzhan, Huang, Xiaohong, Ma, Qingan, Liu, Wei, and Tang, Sida
- Subjects
- *
ENERGY storage , *HYBRID power systems , *HIGH speed trains , *REGENERATIVE braking , *ENERGY consumption , *RAILROAD electrification , *ON-chip charge pumps - Abstract
To recycle regenerative braking energy (RBE) while reducing demand charge in electrified railway, a co‐phase power supply system with hybrid energy storage system (HESS) is implemented. However, the dynamical degradation characteristic of battery is necessary to be considered in optimal operation of HESS. A bi‐level model considering battery degradation is proposed to obtain optimal sizing and operation of HESS. The proposed model includes a novel real‐time energy management strategy (EMS) using average power as thresholds, to effectively reduce the demand charge and energy consumption charge. Thresholds are dynamically adjusted with the consideration of battery capacity degradation. A real measured load profile from Beijing‐Shanghai high speed railway is studied. The results demonstrate that the proposed EMS performs better than previous EMS in cost saving. The dynamically adjusted thresholds of EMS are proved to be essential under the consideration of battery degradation. With the optimal sizing of the HESS, the traction substation can achieve 8.69% annual saving of demand charge and recycle 52.33% of the RBE. The results also show that a traction substation equipped with the HESS yields higher economic benefit than the energy storage systems equipped with only a battery or a supercapacitor. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
4. Power management in co-phase traction power supply system with super capacitor energy storage for electrified railways
- Author
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Li Qunzhan, Sun Ke, Tang Sida, Huang Xiaohong, and Liao Qinyu
- Subjects
Power management ,Energy storage ,Energy management ,Computer science ,020209 energy ,medicine.medical_treatment ,Computational Mechanics ,Transportation ,02 engineering and technology ,Valley filling ,Automotive engineering ,Co-phase traction power supply system ,0502 economics and business ,0202 electrical engineering, electronic engineering, information engineering ,medicine ,Peak shaving ,Electrical and Electronic Engineering ,lcsh:TF1-1620 ,050210 logistics & transportation ,Mechanical Engineering ,05 social sciences ,Traction (orthopedics) ,Computer Science Applications ,Power (physics) ,Regenerative brake ,Power quality ,Peaking power plant ,Electrified railway ,lcsh:Railroad engineering and operation ,Energy (signal processing) - Abstract
Increasing railway traffic and energy utilization issues prompt electrified railway systems to be more economical, efficient and sustainable. As regenerative braking energy in railway systems has huge potential for optimized utilization, a lot of research has been focusing on how to use the energy efficiently and gain sustainable benefits. The energy storage system is an alternative because it not only deals with regenerative braking energy but also smooths drastic fluctuation of load power profile and optimizes energy management. In this work, we propose a co-phase traction power supply system with super capacitor (CSS_SC) for the purpose of realizing the function of energy management and power quality management in electrified railways. Besides, the coordinated control strategy is presented to match four working modes, including traction, regenerative braking, peak shaving and valley filling. A corresponding simulation model is built in MATLAB/Simulink to verify the feasibility of the proposed system under dynamic working conditions. The results demonstrate that CSS_SC is flexible to deal with four different working conditions and can realize energy saving within the allowable voltage unbalance of 0.008% in simulation in contrast to 1.3% of the standard limit. With such a control strategy, the performance of super capacitor is controlled to comply with efficiency and safety constraints. Finally, a case study demonstrates the improvement in power fluctuation with the valley-to-peak ratio reduced by 20.3% and the daily load factor increased by 17.9%.
- Published
- 2020
5. Development of Train Regenerative Braking Ground Absorbing Device based on Super Capacitor Energy Storage
- Author
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Zhao Yunyun, Chen Guangzan, Li Qunzhan, He Zhixin, Liu Wei, Shi Haiou, Jin Shoujie, and Li Kunpeng
- Subjects
050210 logistics & transportation ,Urban rail transit ,Computer science ,medicine.medical_treatment ,05 social sciences ,Topology (electrical circuits) ,Traction (orthopedics) ,Energy storage ,Automotive engineering ,Regenerative brake ,Traction substation ,0502 economics and business ,medicine ,Train ,Voltage - Abstract
The rational use of regenerative braking energy for urban rail transit trains directly affects the voltage safety of the traction power supply system and the electric braking function of the train. It is also of great significance for the implementation of train traction energy saving. This paper proposes a scheme of train regenerative braking ground absorbing device based on super-capacitor energy storage. It adopts multiple modular Buck/Boost DC conversion topology to realize bidirectional control of electric energy and stabilize the secondary utilization of traction network voltage and regenerative electric energy. According to the scheme of this paper, the energy storage device was developed and verified in the engineering of the Guangzhou Line 6 main line traction substation. The test indicators have met the design expectations.
- Published
- 2019
6. Optimized Sizing and Scheduling of Hybrid Energy Storage Systems for High-Speed Railway Traction Substations.
- Author
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Liu, Yuanli, Chen, Minwu, Lu, Shaofeng, Chen, Yinyu, and Li, Qunzhan
- Subjects
ELECTRIC railroad substations ,ENERGY storage ,ALTERNATING currents ,MIXED integer linear programming ,ENERGY management - Abstract
The integration of hybrid energy storage systems (HESS) in alternating current (AC) electrified railway systems is attracting widespread interest. However, little attention has been paid to the interaction of optimal size and daily dispatch of HESS within the entire project period. Therefore, a novel bi-level model of railway traction substation energy management (RTSEM) system is developed, which includes a slave level of diurnal HESS dispatch and a master level of HESS sizing. The slave level is formulated as a mixed integer linear programming (MILP) model by coordinating HESS, traction load, regenerative braking energy and renewable energy. As for the master level model, comprehensive cost study within the project period is conducted, with batteries degradation and replacement cost taken into account. Grey wolf optimization technique with embedded CPLEX solver is utilized to solve this RTSEM problem. The proposed model is tested with a real high-speed railway line case in China. The simulation results of several cases with different system elements are presented, and the sensitivity analyses of several parameters are also performed. The obtained results reveal that it shows significant economic-saving potentials with the integration of HESS and renewable energy. [ABSTRACT FROM AUTHOR]
- Published
- 2018
- Full Text
- View/download PDF
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