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Computational Intelligence based techniques for islanding detection of distributed generation in distribution network: A review

机译:基于计算智能的配电网中分布式发电孤岛检测技术

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摘要

Accurate and fast islanding detection of distributed generation is highly important for its successful operation in distribution networks. Up to now, various islanding detection technique based on communication, passive, active and hybrid methods have been proposed. However, each technique suffers from certain demerits that cause inaccuracies in islanding detection. Computational intelligence based techniques, due to their robustness and flexibility in dealing with complex nonlinear systems, is an option that might solve this problem. This paper aims to provide a comprehensive review of computational intelligence based techniques applied for islanding detection of distributed generation. Moreover, the paper compares the accuracies of computational intelligence based techniques over existing techniques to provide a handful of information for industries and utility researchers to determine the best method for their respective system.
机译:准确快速地进行分布式发电的孤岛检测对于其在配电网中的成功运行非常重要。到目前为止,已经提出了基于通信,被动,主动和混合方法的各种孤岛检测技术。但是,每种技术都有某些缺点,这些缺点会导致孤岛检测不准确。基于计算智能的技术,由于其在处理复杂的非线性系统中的鲁棒性和灵活性,是解决这一问题的一种选择。本文旨在对基于计算智能的技术进行全面综述,该技术适用于分布式发电的孤岛检测。此外,本文将基于计算智能的技术与现有技术的准确性进行了比较,以为工业和公用事业研究人员提供少量信息,以确定各自系统的最佳方法。

著录项

  • 来源
    《Energy Conversion & Management》 |2014年第12期|139-152|共14页
  • 作者单位

    Department of Electrical Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia,Department of Electrical Engineering, Quaid-e-Awam University of Engineering Science & Technology, Nawabshah 67480, Sindh, Pakistan;

    Department of Electrical Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia;

    Department of Electrical Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia;

    University of Malaya Power Energy Dedicated Advanced Centre (UMPEDAC), Level 4, Wisma R&D UM, Jalan Pantai Baharu, University of Malaya, 59990 Kuala Lumpur, Malaysia;

    Faculty of Electrical Engineering, University of Technology MARA (UiTM), 40450 Shah Alam, Selangor, Malaysia;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Islanding detection; Artificial neural network; Fuzzy logic control; Adaptive Neuro fuzzy inference system; Decision tree classifier;

    机译:孤岛检测;人工神经网络;模糊逻辑控制;自适应神经模糊推理系统;决策树分类器;

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