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公用事业规模光伏电站实时监测系统

Real-Time Monitoring System for a Utility-Scale Photovoltaic Power Plant.

作者信息

Moreno-Garcia Isabel M, Palacios-Garcia Emilio J, Pallares-Lopez Victor, Santiago Isabel, Gonzalez-Redondo Miguel J, Varo-Martinez Marta, Real-Calvo Rafael J

机构信息

Electronic Technology Area, University of Cordoba, Cordoba 14071, Spain.

Department of Applied Physics, University of Cordoba, Cordoba 14071, Spain.

出版信息

Sensors (Basel). 2016 May 26;16(6):770. doi: 10.3390/s16060770.

DOI:10.3390/s16060770
PMID:27240365
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4934196/
Abstract

There is, at present, considerable interest in the storage and dispatchability of photovoltaic (PV) energy, together with the need to manage power flows in real-time. This paper presents a new system, PV-on time, which has been developed to supervise the operating mode of a Grid-Connected Utility-Scale PV Power Plant in order to ensure the reliability and continuity of its supply. This system presents an architecture of acquisition devices, including wireless sensors distributed around the plant, which measure the required information. It is also equipped with a high-precision protocol for synchronizing all data acquisition equipment, something that is necessary for correctly establishing relationships among events in the plant. Moreover, a system for monitoring and supervising all of the distributed devices, as well as for the real-time treatment of all the registered information, is presented. Performances were analyzed in a 400 kW transformation center belonging to a 6.1 MW Utility-Scale PV Power Plant. In addition to monitoring the performance of all of the PV plant's components and detecting any failures or deviations in production, this system enables users to control the power quality of the signal injected and the influence of the installation on the distribution grid.

摘要

目前，人们对光伏（PV）能源的存储和可调度性以及实时管理功率流有着浓厚的兴趣。本文介绍了一种新的系统——PV-on time，该系统旨在监督并网公用事业规模光伏电站的运行模式，以确保其供电的可靠性和连续性。该系统展示了一种采集设备架构，包括分布在电站周围的无线传感器，用于测量所需信息。它还配备了一种高精度协议，用于同步所有数据采集设备，这对于正确建立电站中各事件之间的关系是必要的。此外，还介绍了一个用于监测和监督所有分布式设备以及实时处理所有注册信息的系统。在一个属于6.1兆瓦公用事业规模光伏电站的400千瓦转换中心对性能进行了分析。除了监测光伏电站所有组件的性能并检测生产中的任何故障或偏差外，该系统还使用户能够控制注入信号的电能质量以及该装置对配电网的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a436/4934196/76258893b039/sensors-16-00770-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a436/4934196/b11bb436417b/sensors-16-00770-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a436/4934196/31e019774f2a/sensors-16-00770-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a436/4934196/61dd6b867e23/sensors-16-00770-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a436/4934196/569384f7be8e/sensors-16-00770-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a436/4934196/93ad6e819ef7/sensors-16-00770-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a436/4934196/212db9fbef46/sensors-16-00770-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a436/4934196/4e69a17de84b/sensors-16-00770-g011.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a436/4934196/28db04a178ce/sensors-16-00770-g013.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a436/4934196/8057cb1cd4fe/sensors-16-00770-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a436/4934196/b16260f2b3c3/sensors-16-00770-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a436/4934196/76258893b039/sensors-16-00770-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a436/4934196/b11bb436417b/sensors-16-00770-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a436/4934196/c1ce1cbd7381/sensors-16-00770-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a436/4934196/fd6b9c2a9ead/sensors-16-00770-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a436/4934196/556f3c0bd85b/sensors-16-00770-g004.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a436/4934196/31e019774f2a/sensors-16-00770-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a436/4934196/61dd6b867e23/sensors-16-00770-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a436/4934196/569384f7be8e/sensors-16-00770-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a436/4934196/93ad6e819ef7/sensors-16-00770-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a436/4934196/212db9fbef46/sensors-16-00770-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a436/4934196/4e69a17de84b/sensors-16-00770-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a436/4934196/856d3576d168/sensors-16-00770-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a436/4934196/28db04a178ce/sensors-16-00770-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a436/4934196/3db57d93dd15/sensors-16-00770-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a436/4934196/a7b0c11ddead/sensors-16-00770-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a436/4934196/8057cb1cd4fe/sensors-16-00770-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a436/4934196/b16260f2b3c3/sensors-16-00770-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a436/4934196/76258893b039/sensors-16-00770-g018.jpg

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4
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