Design of power quality enhanced sustainable bidirectional electric vehicle charging station in distribution grid

IF 10.5 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Sustainable Cities and Society Pub Date : 2021-11-01 DOI:10.1016/j.scs.2021.103242

C. Balasundar , C.K. Sundarabalan , Jayant Sharma , N.S. Srinath , Josep M. Guerrero

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引用次数: 23

Abstract

Integration of electric vehicle charging stations with the distribution grid rises the grid current harmonics. In this article, a sustainable bidirectional electric vehicle charging station in the distribution grid is designed. The quality of the charging station is improved by employing an adaptive neuro-fuzzy controlled distribution static compensator. The proposed sustainable bidirectional electric vehicle charging station comprises a 3-phase bidirectional ac-dc converter, bidirectional chopper, distribution static compensator and a lithium-ion battery. The bidirectional converters facilitate power flow from grid to vehicle and vice-versa. The decoupled current and dc voltage control method has been implemented for a 3-phase bidirectional converter. A multi-step current control strategy is exploited to control the bidirectional chopper. Distribution static compensator alleviates the grid current harmonics. The proposed system performance is evaluated with two kinds of controllers such as proportional – integral and adaptive neuro-fuzzy controller based on the distribution static compensator dc-side voltage and grid current harmonics. The proposed system has been modelled in MATLAB/Simulink and validated through software in the loop setup comprising of dSPACE (DS1202) hardware. The validated results show that the adaptive neuro-fuzzy controller provides better performance.

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配电网电能质量增强可持续双向电动汽车充电站设计

电动汽车充电站与配电网的集成会增加电网的电流谐波。本文设计了一种可持续的配电网双向电动汽车充电站。采用自适应神经模糊控制的分布静态补偿器，提高了充电站的质量。所提出的可持续双向电动汽车充电站由三相双向交直流变换器、双向斩波器、分配静态补偿器和锂离子电池组成。双向变流器促进从电网到车辆的电力流动，反之亦然。对一种三相双向变换器实现了电流与直流电压的解耦控制。采用多步电流控制策略对双向斩波器进行控制。配电静态补偿器减轻了电网电流谐波。采用基于分布静态补偿器直流侧电压和电网电流谐波的比例积分和自适应神经模糊控制器对系统性能进行了评价。所提出的系统已在MATLAB/Simulink中建模，并通过由dSPACE (DS1202)硬件组成的软件在环路设置中进行验证。验证结果表明，自适应神经模糊控制器具有较好的控制性能。

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来源期刊

Sustainable Cities and Society Social Sciences-Geography, Planning and Development

CiteScore

22.00

自引率

13.70%

发文量

810

审稿时长

27 days

期刊介绍： Sustainable Cities and Society (SCS) is an international journal that focuses on fundamental and applied research to promote environmentally sustainable and socially resilient cities. The journal welcomes cross-cutting, multi-disciplinary research in various areas, including: 1. Smart cities and resilient environments; 2. Alternative/clean energy sources, energy distribution, distributed energy generation, and energy demand reduction/management; 3. Monitoring and improving air quality in built environment and cities (e.g., healthy built environment and air quality management); 4. Energy efficient, low/zero carbon, and green buildings/communities; 5. Climate change mitigation and adaptation in urban environments; 6. Green infrastructure and BMPs; 7. Environmental Footprint accounting and management; 8. Urban agriculture and forestry; 9. ICT, smart grid and intelligent infrastructure; 10. Urban design/planning, regulations, legislation, certification, economics, and policy; 11. Social aspects, impacts and resiliency of cities; 12. Behavior monitoring, analysis and change within urban communities; 13. Health monitoring and improvement; 14. Nexus issues related to sustainable cities and societies; 15. Smart city governance; 16. Decision Support Systems for trade-off and uncertainty analysis for improved management of cities and society; 17. Big data, machine learning, and artificial intelligence applications and case studies; 18. Critical infrastructure protection, including security, privacy, forensics, and reliability issues of cyber-physical systems. 19. Water footprint reduction and urban water distribution, harvesting, treatment, reuse and management; 20. Waste reduction and recycling; 21. Wastewater collection, treatment and recycling; 22. Smart, clean and healthy transportation systems and infrastructure;