Implementation and Characterization of a High-Precision Monitoring System for Photovoltaic Power Plants Using Self-Made Phasor Measurement Units

IF 4.3 2区综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Sensors Journal Pub Date : 2025-08-20 DOI:10.1109/JSEN.2025.3598820

Victoria Arenas-Ramos;Victor Pallares-Lopez;Rafael Real-Calvo;Miguel Gonzalez-Redondo;Isabel Santiago-Chiquero

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引用次数: 0

Abstract

The increasing integration of photovoltaic (PV) plants into the power grid presents an ongoing challenge to prevent the instability caused by atmospheric conditions from affecting the power distribution network. To adequately control the network and implement such techniques, monitoring has been considerably improved in recent years. Due to the vast number of measurements generated, efficient management of this data has become a significant challenge. This article outlines a procedure used for simultaneously storing synchronized measured data from phasor measurement units (PMUs) and PMU-like data from acquisition data acquisition (DAQ) devices through self-made extended-PMUs (ePMUs). Throughout this article, a communication and storage environment that complies with the IEEE C37.118.2 standard for Synchrophasor Data Transfer for Power Systems will be characterized based on criteria established in the IEC 61850-90-5 standard for power utility automation. In addition, it justifies the chosen storage method through a comprehensive study of data volume and reading accessibility. The procedure and the ePMUs have been experimentally validated in field tests in two grid-connected PV plants. The procedure was proven to be valid for quasi-real-time applications for data registered and sent both in a local area network (LAN) and a wide area network (WAN). Thanks to the dataframes synchronize up to the millisecond, data can also be studied offline seamlessly.

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基于自制相量测量单元的光伏电站高精度监测系统的实现与特性研究

随着光伏电站越来越多地并入电网，如何防止大气条件引起的不稳定影响配电网，成为一个持续的挑战。为了充分控制网络和实施这种技术，近年来监测工作已大大改善。由于产生了大量的测量数据，对这些数据的有效管理已成为一项重大挑战。本文概述了一种通过自制的扩展式pmu （ePMUs）同时存储相量测量单元（pmu）的同步测量数据和采集数据采集（DAQ）设备的类似pmu的数据的程序。在本文中，符合电力系统同步数据传输的IEEE C37.118.2标准的通信和存储环境将基于电力公用事业自动化标准IEC 61850-90-5中建立的标准进行特征描述。此外，通过对数据量和读取可访问性的综合研究，证明了所选择的存储方法的合理性。该方法和ePMUs已在两个并网光伏电站的现场试验中得到了实验验证。该方法在局域网和广域网的准实时数据注册和发送应用中都是有效的。由于数据帧同步达到毫秒级，数据也可以无缝地离线研究。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Sensors Journal 工程技术-工程：电子与电气

CiteScore

7.70

自引率

14.00%

发文量

2058

审稿时长

5.2 months

期刊介绍： The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice