对智能电网中电能质量事件检测、分类和故障定位的技术和测量工具进行了全面系统的文献计量学综述

IF 16.3 1区工程技术 Q1 ENERGY & FUELS

Renewable and Sustainable Energy Reviews Pub Date : 2025-09-18 DOI:10.1016/j.rser.2025.116302

Mohammad Rasoulnia , Elnaz Yaghoubi , Elaheh Yaghoubi , Akhtar Hussain , Innocent Kamwa

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引用次数: 0

摘要

将基于逆变器的资源（ibr）集成到智能电网（SGs）中，为电能质量（PQ）维护、故障检测和系统可靠性带来了新的技术挑战。最近的一些研究探索了SGs的各个方面，以提高电能质量，以及故障检测，定位和分类。然而，仍有几个因素需要进一步改进。本文采用系统综述和文献计量分析的方法，考察了先进的SG技术，如自动电压调节（AVR）、先进计量基础设施（AMI）、自动发电控制（AGC）和广域测量系统（WAMS），然后比较了它们在解决电压调节、停电管理和数据处理等操作问题方面的有效性。该研究考察了相量测量单元（pmu）、智能电表（SMs）、数字测量单元（dmu）和波形测量单元（wmu）等测量工具，以了解它们在PQ事件检测、分类和位置识别中的作用。通过使用VOS Viewer可视化技术对Web of Science（2013-2024）的同行评议文章进行文献计量研究，确定了研究趋势和新兴技术以及当前的研究差距。综合分析提供了一个综合视图，展示了智能电网创新和测量解决方案如何提高监测能力，同时改善当代电力系统的事件分析和电网弹性。

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A comprehensive systematic and bibliometric review of technologies and measurement tools for power quality events detection, classification, and fault location in smart grids

Integrating inverter-based resources (IBRs) into smart grids (SGs) introduces new technical challenges for power quality (PQ) maintenance as well as fault detection and system reliability. Several recent studies have explored various aspects of SGs to enhance power quality, as well as fault detection, localization, and classification. However, several factors still require further improvement. This review paper employs systematic review and bibliometric analysis to examine advanced SG technologies such as automatic voltage regulation (AVR), advanced metering infrastructure (AMI), automatic generation control (AGC), and wide area measurement systems (WAMS) before comparing their effectiveness at addressing operational problems such as voltage regulation as well as outage management and data processing. The study examines measurement tools such as phasor measurement units (PMUs), smart meters (SMs), digital measurement units (DMUs), and waveform measurement units (WMUs) to understand their roles in PQ events detection, classification, and location identification. Research trends and emerging technologies along with current research gaps were identified through a bibliometric study of peer-reviewed articles from Web of Science (2013–2024) using VOS Viewer visualization techniques. A combined analysis delivers an integrated view that shows how smart grid innovations and measurement solutions boost monitoring capabilities while simultaneously improving event analysis and grid resilience in contemporary power systems.

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来源期刊

Renewable and Sustainable Energy Reviews 工程技术-能源与燃料

CiteScore

31.20

自引率

5.70%

发文量

1055

审稿时长

62 days

期刊介绍： The mission of Renewable and Sustainable Energy Reviews is to disseminate the most compelling and pertinent critical insights in renewable and sustainable energy, fostering collaboration among the research community, private sector, and policy and decision makers. The journal aims to exchange challenges, solutions, innovative concepts, and technologies, contributing to sustainable development, the transition to a low-carbon future, and the attainment of emissions targets outlined by the United Nations Framework Convention on Climate Change. Renewable and Sustainable Energy Reviews publishes a diverse range of content, including review papers, original research, case studies, and analyses of new technologies, all featuring a substantial review component such as critique, comparison, or analysis. Introducing a distinctive paper type, Expert Insights, the journal presents commissioned mini-reviews authored by field leaders, addressing topics of significant interest. Case studies undergo consideration only if they showcase the work's applicability to other regions or contribute valuable insights to the broader field of renewable and sustainable energy. Notably, a bibliographic or literature review lacking critical analysis is deemed unsuitable for publication.