Application of controlled SMES with Integrating PV System and Electric Vehicles into Power System

Hossam S. Salama, I. Vokony
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引用次数: 4

Abstract

Nowadays, the integration of electric vehicles (EVs) and photovoltaic (PV) systems into the electrical power network (EPN) is a significant research topic. The number of electric vehicles (EVs) is growing fast, which leads to a decrease in fuel consumption, emissions, and helps keep the environment clean. However, this will have an effect on EPN's operation owing to uncontrolled charging, especially during peak hours. PV systems belong to renewable energy sources (RESs) and have spread in most of the world recently. PV systems generate power intermittently during the day, solely depending on sunlight. To overcome these issues, controlled energy storage systems are used widely with PV systems and EVs. The superconducting magnetic energy storage system (SMES) is considered to be one of the vital methods to solve the power mismatch between load and generation power. Here a fuzzy logic control (FLC) system is proposed to determine the charging/discharging level of SMES with two inputs: (ii) the power line and (ii) the SMES current controlled by a DC-DC chopper. MATLAB/SIMULINK was used to perform simulations and test the effectiveness of the proposed control method. The results demonstrate that this controlled SMES charging/discharging method helps in reducing the power mismatch and improves EPN performance.
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光伏与电动汽车并网发电在可控中小企业中的应用
目前,将电动汽车和光伏系统集成到电网中是一个重要的研究课题。电动汽车(ev)的数量正在快速增长,这导致燃料消耗和排放的减少,并有助于保持环境清洁。然而,由于不受控制的收费,特别是在高峰时段,这将对EPN的运行产生影响。光伏发电系统属于可再生能源,近年来在世界大部分地区得到推广。光伏发电系统在白天间歇性地发电,完全依靠阳光。为了克服这些问题,可控储能系统被广泛应用于光伏系统和电动汽车。超导磁储能系统被认为是解决负荷与发电功率不匹配的重要方法之一。本文提出了一种模糊逻辑控制(FLC)系统,通过两个输入(ii)电源线和(ii)由DC-DC斩波器控制的SMES电流来确定SMES的充放电水平。利用MATLAB/SIMULINK进行了仿真,验证了所提控制方法的有效性。结果表明,这种可控的sme充放电方法有助于减少功率失配,提高EPN性能。
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