{"title":"Evaluating Disturbance Ride-Through Capability of Fast Electric Vehicle Charging Stations Using DVshave","authors":"Samuel Ngotho, Malabika Basu","doi":"10.1049/pel2.70128","DOIUrl":null,"url":null,"abstract":"<p>Reliable power quality is crucial for electric vehicle charging stations (EVCS), but persistent voltage quality issues in distribution networks pose a significant challenge. This study proposes DVShave, a novel system integrating a dynamic voltage restorer (DVR) with peak-shaving functionality to significantly enhance EVCS resilience. Designed, modelled and tested in MATLAB/Simulink and validated through OPAL-RT real-time studies, DVShave features a DVR supplied by a 700 V energy storage system (ESS) and controlled by an artificial neural network (ANN) using a synchronous reference frame strategy. The system's performance was evaluated under severe symmetrical voltage dips (30%, 60% and 80%), swells, unsymmetrical faults and non-linear voltage conditions. DVShave effectively prevents charging interruptions and maintains stable charging rates during these grid disturbances, notably reducing supply voltage total harmonic distortion from 19.60% to 4.84%. The ANN-based controller demonstrated a small but notable improvement in harmonic distortion elimination compared to PI-based DVRs. Concurrently, its integrated peak-shaving feature leverages the DVR's ESS, using a rule-based control technique to lower the peak-to-average ratio from 1.9 to 1.49 daily over 4.5 h for a charging station with 50 EV chargers.</p>","PeriodicalId":56302,"journal":{"name":"IET Power Electronics","volume":"18 1","pages":""},"PeriodicalIF":1.9000,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/pel2.70128","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IET Power Electronics","FirstCategoryId":"5","ListUrlMain":"https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/pel2.70128","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Reliable power quality is crucial for electric vehicle charging stations (EVCS), but persistent voltage quality issues in distribution networks pose a significant challenge. This study proposes DVShave, a novel system integrating a dynamic voltage restorer (DVR) with peak-shaving functionality to significantly enhance EVCS resilience. Designed, modelled and tested in MATLAB/Simulink and validated through OPAL-RT real-time studies, DVShave features a DVR supplied by a 700 V energy storage system (ESS) and controlled by an artificial neural network (ANN) using a synchronous reference frame strategy. The system's performance was evaluated under severe symmetrical voltage dips (30%, 60% and 80%), swells, unsymmetrical faults and non-linear voltage conditions. DVShave effectively prevents charging interruptions and maintains stable charging rates during these grid disturbances, notably reducing supply voltage total harmonic distortion from 19.60% to 4.84%. The ANN-based controller demonstrated a small but notable improvement in harmonic distortion elimination compared to PI-based DVRs. Concurrently, its integrated peak-shaving feature leverages the DVR's ESS, using a rule-based control technique to lower the peak-to-average ratio from 1.9 to 1.49 daily over 4.5 h for a charging station with 50 EV chargers.
期刊介绍：
IET Power Electronics aims to attract original research papers, short communications, review articles and power electronics related educational studies. The scope covers applications and technologies in the field of power electronics with special focus on cost-effective, efficient, power dense, environmental friendly and robust solutions, which includes:
Applications:
Electric drives/generators, renewable energy, industrial and consumable applications (including lighting, welding, heating, sub-sea applications, drilling and others), medical and military apparatus, utility applications, transport and space application, energy harvesting, telecommunications, energy storage management systems, home appliances.
Technologies:
Circuits: all type of converter topologies for low and high power applications including but not limited to: inverter, rectifier, dc/dc converter, power supplies, UPS, ac/ac converter, resonant converter, high frequency converter, hybrid converter, multilevel converter, power factor correction circuits and other advanced topologies.
Components and Materials: switching devices and their control, inductors, sensors, transformers, capacitors, resistors, thermal management, filters, fuses and protection elements and other novel low-cost efficient components/materials.
Control: techniques for controlling, analysing, modelling and/or simulation of power electronics circuits and complete power electronics systems.
Design/Manufacturing/Testing: new multi-domain modelling, assembling and packaging technologies, advanced testing techniques.
Environmental Impact: Electromagnetic Interference (EMI) reduction techniques, Electromagnetic Compatibility (EMC), limiting acoustic noise and vibration, recycling techniques, use of non-rare material.
Education: teaching methods, programme and course design, use of technology in power electronics teaching, virtual laboratory and e-learning and fields within the scope of interest.
Special Issues. Current Call for papers:
Harmonic Mitigation Techniques and Grid Robustness in Power Electronic-Based Power Systems - https://digital-library.theiet.org/files/IET_PEL_CFP_HMTGRPEPS.pdf
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