Power Management Approach of Hybrid Energy Storage System for Electric Vehicle Charging Stations

被引:0
|
作者
Fekih Hassen, Wiem [1 ]
Schoppik, Luis [2 ]
Schiegg, Sascha [1 ]
Gerl, Armin [3 ]
机构
[1] Univ Passau, Chair Distributed Informat Syst, Innstr 41, D-94032 Passau, Germany
[2] TUD Dresden Univ Technol, Mommsenstr 9, D-01062 Dresden, Germany
[3] HM Munich Univ Appl Sci, Lothstr 34, D-80335 Munich, Germany
来源
SMART CITIES | 2024年 / 7卷 / 06期
关键词
HESS; RFB; lithium battery; power distribution; OpenEMS; real load dataset;
D O I
10.3390/smartcities7060156
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Highlights What are the main findings? Efficient Power Distribution: The Hybrid Controller ensures a balanced power distribution between the two ESSs based on their State of Charge (SoC). Prioritization of Renewable Energy: The system prioritizes PV energy, maximizing the use of renewable sources and reducing grid reliance. Improved System Performance: Simulations using real-world datasets demonstrate improved energy efficiency, reduced grid load, and enhanced self-consumption of renewable energy. Validation Across Scenarios: The controller is validated through simulations across 24 scenarios, showcasing its adaptability to varying conditions. What are the main findings? Enhancing Lithium Battery Longevity: The Hybrid Controller significantly increases the lifespan of a lithium battery by optimizing its usage, reducing charge-discharge cycles, and minimizing stress on the battery during peak loads. Environmental Impact: By prioritizing renewable energy and minimizing grid dependency, the system reduces the carbon footprint of EVCSs, supporting global decarbonization goals. Cost Reduction: Optimizing the use of renewable energy and efficient energy storage minimizes operational costs for EVCSs. Scalability and Adaptability: The Hybrid Controller can adapt to various locations and configurations, making it a scalable solution for future charging infrastructures.Highlights What are the main findings? Efficient Power Distribution: The Hybrid Controller ensures a balanced power distribution between the two ESSs based on their State of Charge (SoC). Prioritization of Renewable Energy: The system prioritizes PV energy, maximizing the use of renewable sources and reducing grid reliance. Improved System Performance: Simulations using real-world datasets demonstrate improved energy efficiency, reduced grid load, and enhanced self-consumption of renewable energy. Validation Across Scenarios: The controller is validated through simulations across 24 scenarios, showcasing its adaptability to varying conditions. What are the main findings? Enhancing Lithium Battery Longevity: The Hybrid Controller significantly increases the lifespan of a lithium battery by optimizing its usage, reducing charge-discharge cycles, and minimizing stress on the battery during peak loads. Environmental Impact: By prioritizing renewable energy and minimizing grid dependency, the system reduces the carbon footprint of EVCSs, supporting global decarbonization goals. Cost Reduction: Optimizing the use of renewable energy and efficient energy storage minimizes operational costs for EVCSs. Scalability and Adaptability: The Hybrid Controller can adapt to various locations and configurations, making it a scalable solution for future charging infrastructures.Abstract The applicability of Hybrid Energy Storage Systems (HESSs) has been shown in multiple application fields, such as Charging Stations (CSs), grid services, and microgrids. HESSs consist of an integration of two or more single Energy Storage Systems (ESSs) to combine the benefits of each ESS and improve the overall system performance. In this work, we propose a novel power management controller called the Hybrid Controller for the efficient HESS's charging and discharging, considering the State of Charge (SoC) of the HESS and the dynamic supply and load. The Hybrid Controller optimises the use of the HESS, i.e., minimises the amount of energy drawn from and discharged to the grid, thus utilising and prioritising the provided Photovoltaic (PV) power. The performance of our proposal was assessed via simulation using various evaluation metrics, i.e., Autarky, charge/discharge cycle, and Self-Consumption (SC), where we defined 24 scenarios in different locations in Germany.
引用
收藏
页码:4025 / 4051
页数:27
相关论文
共 50 条
  • [21] DESIGNING A SYSTEM OF PLUG-IN HYBRID ELECTRIC VEHICLE CHARGING STATIONS
    Khosrojerdi, Amirhossein
    Xiao, Minting
    Sarikprueck, Piampoom
    Allen, Janet K.
    Mistree, Farrokh
    PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, 2013, VOL 3A, 2014,
  • [22] A Bi-Level Optimization Approach to Charging Load Regulation of Electric Vehicle Fast Charging Stations Based on a Battery Energy Storage System
    Bao, Yan
    Luo, Yu
    Zhang, Weige
    Huang, Mei
    Wang, Le Yi
    Jiang, Jiuchun
    ENERGIES, 2018, 11 (01)
  • [23] Power Sharing in Electric Vehicle using Hybrid Energy Storage System
    Hatwar, Prachi S.
    Bherde, Rohan S.
    Bodkhe, Sanjay B.
    Ingole, Juhi S.
    2018 INTERNATIONAL CONFERENCE ON SMART ELECTRIC DRIVES AND POWER SYSTEM (ICSEDPS), 2018, : 38 - 43
  • [24] Optimal operation of aggregated electric vehicle charging stations coupled with energy storage
    Sarker, Mushfiqur R.
    Pandzic, Hrvoje
    Sun, Kaiwen
    Ortega-Vazquez, Miguel A.
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2018, 12 (05) : 1127 - 1136
  • [25] Power management strategies of hybrid storage system suppling electric vehicle
    Laid, Degaa
    Imen, Jarraya
    Nassim, Rizoug
    Sara, Daas
    Cherif, Larouci
    Telmoudi, Achraf Jabeur
    2022 30TH MEDITERRANEAN CONFERENCE ON CONTROL AND AUTOMATION (MED), 2022, : 1018 - 1023
  • [26] Power Management for Hybrid Energy Storage System in Electric Vehicles
    Usmani, Mohammad Jasim
    Haque, Ahteshamul
    Bharath, V. S. Kurukuru
    2019 INTERNATIONAL CONFERENCE ON POWER ELECTRONICS, CONTROL AND AUTOMATION (ICPECA-2019), 2019, : 521 - 526
  • [27] Model predictive control for power management in a plug-in hybrid electric vehicle with a hybrid energy storage system
    Zhang, Shuo
    Xiong, Rui
    Sun, Fengchun
    APPLIED ENERGY, 2017, 185 : 1654 - 1662
  • [28] Modeling and Power Management of Electric Vehicle Charging System
    Ray, Pravat Kumar
    Bharatee, Anindya
    Panda, Samarpita
    Satiawan, I. Nyoman Wahyu
    2021 INTERNATIONAL CONFERENCE ON SMART-GREEN TECHNOLOGY IN ELECTRICAL AND INFORMATION SYSTEMS (ICSGTEIS), 2021, : 100 - 105
  • [29] Optimally manage the energy between electric vehicle charging stations and electricity distribution system: A hybrid technique
    Venkatakrishnan, Giri Rajanbabu
    Rengaraj, Ramasubbu
    Prakash, Nattamai Balasubramanian
    INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS, 2021, 35 (01)
  • [30] An energy management strategy with renewable energy and energy storage system for a large electric vehicle charging station
    Li, Desheng
    Zouma, Adama
    Liao, Jian-Tang
    Yang, Hong-Tzer
    ETRANSPORTATION, 2020, 6