综合可再生能源中电动汽车负荷需求与储能装置的影响

IF 2.4 Q2 MULTIDISCIPLINARY SCIENCES

Smart Science Pub Date : 2022-05-28 DOI:10.1080/23080477.2022.2074658

Bharat Singh, A. Sharma

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引用次数: 2

摘要

摘要可再生能源发电的间歇性可能导致发电量下降或上升以及负荷失衡。此外，电动汽车的更高渗透率会影响电压分布和不平衡。所提出的工作的主要贡献是确定（i）电动汽车（EV）充电站的现实负载模型（ii）考虑到具有最现实ZIP负载的电动汽车负载需求的电池储能器（BES）的大小。（iii）BES规模确定考虑了电动汽车负荷需求的成本效益分析和概率建模。（iv）最小化每日能量损失（v），最大化系统的总效益，（vi）电动汽车负载需求的性质已经被建模用于能量存储设备的尺寸确定。火力发电机的燃料成本已降至最低，目标函数中已考虑太阳能光伏（PV）和风力涡轮机（WT）的运行和维护成本。日能量损失降低到30.085%，电压偏差降低到1.165%，并对IEEE-33总线测试系统进行了分析。迭代蒙特卡罗模拟和非线性规划已被用于解决多目标问题。

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Impact of Electric Vehicle Load Demand and Energy Storage Device in Integrated Renewable Energy Sources

ABSTRACT The intermittent nature of renewable-based generation may cause the dip or rise generation and load imbalances. Besides, the higher penetration of Electric Vehicles can affect the voltage profile and imbalances. The main contribution of the proposed work is to determine (i) the realistic load model of electric vehicle (EV) charging station (ii) the size of battery energy storage (BES) considering the EV load demand with the most realistic ZIP load. (iii) the cost-benefit analysis and the probabilistic modeling of EV load demand are considered for BES sizing. (iv) minimization of the daily energy loss (v), maximizing the total benefit of the system, (vi) the nature of the electric vehicle load demand has been modeled for size determination of energy storage devices. The fuel cost of the thermal generator has been minimized, and the operating and maintenance cost of the Solar Photovoltaic (PV), and Wind Turbine (WT) have been considered in the objective function. The daily energy loss has been reduced to 30.085%. The voltage deviation has been reduced to 1.165%. The analysis has been carried out for the IEEE-33 bus test system. The iterative Monte Carlo Simulation and Nonlinear Programming have been used to solve the multi-objective problem.

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来源期刊

Smart Science Engineering-Engineering (all)

CiteScore

4.70

自引率

4.30%

发文量

期刊介绍： Smart Science (ISSN 2308-0477) is an international, peer-reviewed journal that publishes significant original scientific researches, and reviews and analyses of current research and science policy. We welcome submissions of high quality papers from all fields of science and from any source. Articles of an interdisciplinary nature are particularly welcomed. Smart Science aims to be among the top multidisciplinary journals covering a broad spectrum of smart topics in the fields of materials science, chemistry, physics, engineering, medicine, and biology. Smart Science is currently focusing on the topics of Smart Manufacturing (CPS, IoT and AI) for Industry 4.0, Smart Energy and Smart Chemistry and Materials. Other specific research areas covered by the journal include, but are not limited to: 1. Smart Science in the Future 2. Smart Manufacturing: -Cyber-Physical System (CPS) -Internet of Things (IoT) and Internet of Brain (IoB) -Artificial Intelligence -Smart Computing -Smart Design/Machine -Smart Sensing -Smart Information and Networks 3. Smart Energy and Thermal/Fluidic Science 4. Smart Chemistry and Materials