Review of electric vehicle (EV) charging using renewable solar photovoltaic (PV) nano grid

IF 4 4区 环境科学与生态学 Q2 ENVIRONMENTAL STUDIES Energy & Environment Pub Date : 2023-09-20 DOI:10.1177/0958305x231199151
S Satheesh Kumar, B Ashok Kumar, S Senthilrani
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Abstract

This review article gives a comprehensive review of existing research on renewable solar photovoltaic (PV) nanogrid, which is described from small-scale power system with a single domain for reliability, control, and power quality (PQ) for electric vehicle (EV) charging. A primary feeder on the Microgrid is connected to a nanogrid test bed that includes PV as power source, a battery energy storage system (BESS), smart-inverter multiple and EV charging stations (EVCS). The control algorithms are graded on four metrics: (1) voltage profiles, (2) renewable penetration, (3) PV curtailed and (4) net power flows. To investigate the local power quality, a steady-state power flow model of the nano-grid is created. The control algorithms successfully employ the battery to shift the nano-grid peak load while limiting the nano-grid demand to set level. Furthermore, an increasing emphasis is being placed on commonly used strategies for addressing the characteristics of each renewable system. This review paper characterizes the dynamic operation of 4 distinct BESS control algorithms for solar EV charging nanogrid: (1) peak load shifting, (2) reduce peak period impact, (3) cap demand, and (4) photovoltaic capture. These control modes are executed and analyzed on real-world nano-grid site, and optimal BESS control modes are assessed in terms of (1) solar electric vehicle charging, (2) power quality, (3) grid net demand, (4) photovoltaic curtailment, and (5) solar penetration. Finally, the problems highlight research gaps, and discussions on future trends are critical for enhancing the general technology of the renewable solar photovoltaic nano-grid for EV charging.
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基于可再生太阳能光伏纳米电网的电动汽车充电研究进展
本文综述了可再生太阳能光伏(PV)纳米电网的研究现状,从单一领域的小型电力系统出发,对电动汽车(EV)充电的可靠性、控制和电能质量(PQ)进行了描述。微电网的主馈线连接到纳米电网测试平台,该测试平台包括光伏作为电源,电池储能系统(BESS),智能逆变器和电动汽车充电站(EVCS)。控制算法根据四个指标进行分级:(1)电压分布,(2)可再生能源渗透率,(3)PV削减和(4)净功率流。为了研究纳米电网的局部电能质量,建立了纳米电网的稳态潮流模型。该控制算法成功地利用电池转移了纳米电网的峰值负荷,同时将纳米电网的需求限制在设定的水平。此外,越来越强调处理每个可再生系统特点的常用战略。本文综述了太阳能电动汽车充电纳米电网中4种不同的BESS控制算法的动态运行特征:(1)峰值负荷转移,(2)减少高峰时段影响,(3)上限需求,(4)光伏捕获。这些控制模式在实际纳米电网现场执行和分析,并从(1)太阳能电动汽车充电、(2)电能质量、(3)电网需求、(4)光伏弃风和(5)太阳能渗透等方面评估最佳BESS控制模式。最后,这些问题突出了研究差距,并对未来趋势进行了讨论,这对于提高可再生太阳能光伏纳米电网用于电动汽车充电的一般技术至关重要。
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来源期刊
Energy & Environment
Energy & Environment ENVIRONMENTAL STUDIES-
CiteScore
7.60
自引率
7.10%
发文量
157
期刊介绍: Energy & Environment is an interdisciplinary journal inviting energy policy analysts, natural scientists and engineers, as well as lawyers and economists to contribute to mutual understanding and learning, believing that better communication between experts will enhance the quality of policy, advance social well-being and help to reduce conflict. The journal encourages dialogue between the social sciences as energy demand and supply are observed and analysed with reference to politics of policy-making and implementation. The rapidly evolving social and environmental impacts of energy supply, transport, production and use at all levels require contribution from many disciplines if policy is to be effective. In particular E & E invite contributions from the study of policy delivery, ultimately more important than policy formation. The geopolitics of energy are also important, as are the impacts of environmental regulations and advancing technologies on national and local politics, and even global energy politics. Energy & Environment is a forum for constructive, professional information sharing, as well as debate across disciplines and professions, including the financial sector. Mathematical articles are outside the scope of Energy & Environment. The broader policy implications of submitted research should be addressed and environmental implications, not just emission quantities, be discussed with reference to scientific assumptions. This applies especially to technical papers based on arguments suggested by other disciplines, funding bodies or directly by policy-makers.
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