Smart Monitoring of Microgrid-Integrated Renewable-Energy-Powered Electric Vehicle Charging Stations Using Synchrophasor Technology

被引:0
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作者
B, Deepa [1 ]
Hampannavar, Santoshkumar [1 ,2 ,3 ]
Mansani, Swapna [4 ]
机构
[1] School of Electrical and Electronics Engineering, REVA University, Bengaluru,560064, India
[2] Electrical and Electronic Engineering Science, University of Johannesburg, Johannesburg,2006, South Africa
[3] School of Electrical and Communication Sciences, JSPM University, Pune,412207, India
[4] Department of Electrical Engineering, National Institute of Technology, Silchar,788010, India
关键词
Charging stations;
D O I
10.3390/wevj15100432
中图分类号
学科分类号
摘要
With the growing concern over climate change and energy security, the Government of India expedited enhancing the share of renewable energy (RE) derived from solar, wind and biomass sources within the energy blend. In this paper, a techno-economic and environmental analysis of a microgrid-integrated electric vehicle charging stations fueled by renewable energy is proposed for a typical area in the State of Karnataka, South India. The power transaction with the grid and the sell-back price to the national grid were investigated. Carbon emissions were also assessed, and 128,406 CO2 kg/Yr can be saved in the grid-connected mode. Also, in this work, different scenarios such as injecting active power, reactive power, and active and reactive power, and injecting active and absorbing reactive power to the grid are comprehensively assessed. Out of four types, type 3 (inject real and reactive power) provides significant reduction in power losses by up to 80.99%. The synchrophasor-technology-based monitoring method is adopted in order to enhance the microgrid system’s overall performance. The execution times for different cases with distributed generators (DGs) and electric vehicle charging stations (EVCSs) for conventional systems and micro-phasor measurement units (µPMU) were observed to be 19.07 s and 5.64 s, respectively, which is well accepted in the case of online monitoring. © 2024 by the authors.
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