← 返回
可再生能源电站高频局部放电监测中电磁干扰信号特性及抑制方法研究
Research on Electromagnetic Interference Signal Characteristics and Suppression Methods for High Frequency Partial Discharge Monitoring in Renewable Energy Stations
| 作者 | Zhiguo Tang · Ke Zhang · Wei Li · Bo Qi · Shusheng Zheng · Junkang Chen |
| 期刊 | IEEE Transactions on Power Delivery |
| 出版日期 | 2025年3月 |
| 技术分类 | 储能系统技术 |
| 技术标签 | 储能系统 |
| 相关度评分 | ★★★★★ 5.0 / 5.0 |
| 关键词 | 可再生能源电站 35kV电力电缆 高频局部放电监测 脉冲干扰 干扰抑制 |
语言:
中文摘要
随着我国能源转型推进,可再生能源发电在电力系统中的占比持续提升。35 kV电力电缆广泛用于可再生能源电站集电线路,其高频局部放电在线监测是发现绝缘缺陷、评估运行状态的重要手段。相较于传统电站,可再生能源电站中大量电力电子设备产生强高频脉冲干扰,易淹没微弱放电信号,给高频PD检测带来严峻挑战。本文基于乌兰察布可再生能源电站工程实践,开展站内高频电磁干扰实测研究,通过多点同步对比测试分析干扰源与特征。提出基于OTSU与局部能量阈值的脉冲提取方法,并结合谱聚类实现重复性脉冲干扰分离,辅以模板试验逐一分离识别干扰信号,构建高频强脉冲干扰抑制策略。现场数据验证表明,干扰抑制率达93.67%,验证了该方法的可行性。
English Abstract
As China's energy transformation advances, the proportion of renewable energy power generation in the power system continues to increase. 35 kV power cables are widely used as collector lines in renewable energy stations. High frequency (HF) partial discharge (PD) online monitoring is an important means to discover potential insulation defects in power cables and evaluate their operational status. Compared with traditional power stations, renewable energy stations use a large number of power electronic equipment, which can generate severe HF and high intensity pulse interference. These interferences are prone to submerging weak PD signals, posing new and severe challenges to high-frequency PD detection. Based on the engineering practice of Ulanqab Renewable Energy Station, this paper conducts actual measurement research on high-frequency electromagnetic interference signals in the station. According to the topological wiring of the station, the source and characteristics of the interference signals are studied through multi-point synchronous comparison testing. According to the time-frequency characteristics of the signal, a pulse extraction method based on OTSU and local energy threshold is proposed. Then, according to the extracted large number of pulses, a repetitive pulse interference separation method based on spectral clustering was proposed, which successfully separated several similar pulses from field data. On this basis, combined with stencil test, each pulse interference signal is identified and separated one by one, thus achieving the strategy of eliminating high-frequency and strong repetitive pulse interference signals. Verified with field data, the interference suppression rate reached 93.67%, proving the feasibility of this strategy.
S
SunView 深度解读
该高频局部放电监测与电磁干扰抑制技术对阳光电源大型储能系统和光伏电站具有重要应用价值。PowerTitan储能系统和SG系列逆变器中大量SiC/GaN功率器件的高频开关会产生强脉冲干扰,影响35kV集电线路电缆绝缘状态监测。文中提出的OTSU脉冲提取与谱聚类干扰分离算法可集成至iSolarCloud智能运维平台,实现93.67%干扰抑制率,有效识别电缆局部放电信号,提升预测性维护能力。该技术可应用于ST储能变流器、1500V光伏系统的电磁兼容设计优化,降低设备对电网侧监测系统的干扰,保障可再生能源电站安全运行。