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
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