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The Adoption of Best Practices for Insulation Condition Assessment and Condition Monitoring of OWF HVAC Export and MVAC Inter-array Cables: Preliminary Field Trial Results

机译:采用最佳绝缘条件评估和猫头鹰横幅和MVAC间阵列电缆的条件监测:初步现场试验结果

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The implementation of electrical condition monitoring (CM) technology in the offshore wind farm (OWF) industry has been limited to date. There is presently no system available in the market that can effectively perform the monitoring and correlation of several electrical condition parameters to enhance the insulation condition assessment (ICA) of the network. This paper is an extension of the work published by the authors in the 2013 EWEA Offshore Conference in Nov 2013 on the importance of 'holistic' insulation condition monitoring (CM) and testing, both at the commissioning/acceptance phase and then into the service life of the cable networks. To further improve the CM of the cable networks in the OWF market sector, the authors present a new system (OHVMS) that is capable of monitoring the state and condition of the network. This work presents the results from the field trial of this new technology. The system acquires and records, on a continuous basis, partial discharge (PD), power quality (PQ) and cable sheath currents (SC) data. The ongoing analysis of the data shows how correlating the effect of phenomena on differing parameters can help to increase the understanding of the real state of the systems, improving the Condition Based Management (CBM) of the assets. The data has been recorded on both 33kV inter-array cables and 132kV export cables on a number of UK offshore wind farms over a period of several months. A case study in which the system has helped to identify PD on an offshore site is reported herein.
机译:海上风电场(OWF)行业的电气状况监测(CM)技术的实施仅限于约会。目前市场上没有可用的系统,可以有效地执行若干电气条件参数的监测和相关性,以增强网络的绝缘条件评估(ICA)。本文是2013年11月在2013年11月在2013年11月在2013年11月在2013年11月举行的作品的延伸,这是在调试/接受阶段的“整体”绝缘状况监测(CM)和测试中的重要性,然后进入使用寿命电缆网络。为了进一步改善OWF市场部门的电缆网络的CM,作者呈现了一种能够监控网络的状态和条件的新系统(OHVMS)。这项工作提出了这项新技术的现场试验结果。系统地获取和记录,连续地,局部放电(PD),电力质量(PQ)和电缆鞘电流(SC)数据。对数据的持续分析显示了如何将现象对不同参数的效果相关如何帮助增加对系统的实际状态的理解,从而改善资产的基于条件的管理(CBM)。在几个月内,在33kV阵列阵列电缆和132kV出口电缆上录制了数据。本文报道了一种案例研究,其中系统有助于识别近海部位上的PD。

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