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首页> 外文期刊>Smart Grid, IEEE Transactions on >Anti-Islanding Protection of PV-Based Microgrids Consisting of PHEVs Using SVMs
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Anti-Islanding Protection of PV-Based Microgrids Consisting of PHEVs Using SVMs

机译：使用SVM的PHEV组成的基于PV的微电网的防孤岛保护

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摘要

The cheap and reliable primal energy source for battery energy storage system (BESS) refueling necessitates a special attention for combining renewable energy resources with plug-in hybrid electric vehicle (PHEV) charging stations in microgrids. Rapid charging is an operation mode of PHEV for drivers which demands fast recharging of BESSs of the electric cars. This charging mode manifests as low impedance short circuit at dc side, making power transient on power grid side. This paper presents a new anti-islanding protection scheme for low-voltage-sourced converter-based microgrids by exploiting support vector machines (SVMs). The proposed anti-islanding protection method exploits powerful classification capability of SVMs. The sensor monitors seven inputs measured at the point of common coupling (PCC), namely, root-mean-square (RMS) value of voltage and current (RMSV, RMSI, total harmonic distortion (THD) of voltage and current (THDV, THDI), frequency (f), and also active and reactive powers (P, Q). This approach is based on passive monitoring and therefore, it does not affect the power quality (PQ). In order to cover as many situations as possible, minimize false tripping and remain selective, training, and detection procedures are simply introduced. Based on the presented sampling method and input model, the proposed method is tested under different conditions such as PHEV rapid charging, additional load change and multiple distributed generations at the same PCC. Simulations based on the model and parameters of a real-life practical photovoltaic power plant are performed in MATLAB/Simulink environment, and several tests are executed based on different scenarios and compared with previously reported techniques, this analysis proved the effectiveness, authenticity, selectivity, accuracy, and precision of the proposed method with allowable impact on PQ according to UL1741 standard, and its superiority over other methods.
机译：用于电池储能系统（BESS）加油的廉价且可靠的原始能源需要特别关注将可再生能源与微电网中的插电式混合动力汽车（PHEV）充电站相结合。对于驾驶员而言，快速充电是PHEV的一种操作模式，需要对电动汽车的BESS进行快速充电。这种充电模式表现为直流侧的低阻抗短路，使电网侧的功率瞬变。本文通过利用支持向量机（SVM）提出了一种新的针对低压源变流器微电网的防孤岛保护方案。所提出的防孤岛保护方法利用了支持向量机的强大分类能力。传感器监视在公共耦合点（PCC）处测量的七个输入，即电压和电流的均方根（RMS）值（RMSV，RMSI，电压和电流的总谐波失真（THD））（THDV，THDI） ），频率（f）以及有功功率和无功功率（P，Q）。该方法基于无源监视，因此不会影响电能质量（PQ）。为了覆盖尽可能多的情况，简单介绍了最小化错误跳闸并保持选择性，训练和检测程序，并在提出的采样方法和输入模型的基础上，对所提出的方法在不同条件下进行了测试，例如PHEV快速充电，额外的负载变化以及同时产生多个分布式发电PCC。在MATLAB / Simulink环境中基于现实生活中的实际光伏电站的模型和参数进行仿真，并根据不同的场景执行了一些测试，并与先前报告的测试进行了比较从技术上讲，该分析证明了所提出方法的有效性，真实性，选择性，准确性和精确性，并且对UL根据UL1741标准的PQ产生了可允许的影响，并且优于其他方法。

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