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关键词： 220kv   边缘计算   变压器   故障检测  

摘要： 220kV变压器作为电力系统中的重要组成部分,其稳定运行直接关系到电力供应的可靠性和安全性。变压器故障可能导致重大的经济损失和社会影响,因此,提高变压器的故障检测能力,尤其是实时故障检测能力,是电力系统运维管理中的一个重要课题。边缘计算作为一种在数据源附近进行数据处理的计算模式,能够减少数据传输的延迟,提高数据处理的速度和效率,因此被认为是提升变压器故障检测能力的有效技术路径之一,为变压器故障识别与检测提供支持。

关键词： 功率波动平抑   近零相位自适应滤波   电池寿命   充放电能量不平衡   Logistic动态区间  

摘要： 为保证电池储能持续平抑波动,该文提出一种基于双层协调控制的电池集成储能控制策略。外层控制中,提出基于近零相位自适应滤波的风功率平滑策略,不仅使并网功率满足1、10 min时间尺度波动平抑需求,还减小了控制过程中相位滞后,并在风功率较平稳时自适应控制储能系统退出运行,有效降低了储能系统额定功率需求和运行负担。内层控制中,采用不同充、放电特性的两组磷酸铁锂电池集成以跟踪功率指令,并定义等效荷电状态(state of charge,SOC)指标衡量储能系统的整体SOC水平,随后将等效SOC与外层控制相联系,提出基于Logistic动态区间的SOC优化策略,确保优化过程中并网功率满足要求,并解决充、放电不均衡情况下的高/低SOC极端运行状态,保证电池储能持续平抑波动能力,同时可使两组电池储能接近最优放电深度(depth of discharge,DOD)运行,充分利用其循环寿命。

关键词： BP神经网络   光伏发电   功率预测  

摘要： 本文主要探讨基于BP神经网络的光伏发电功率预测方法,本文通过收集环境温度、太阳辐照度等参数,以此构建起实时高效的BP神经网络模型,该模型在应用和运行的过程中有着较强的预测能力,能够对未来的光伏发电功率进行预测。研究结果表明该方式不仅稳定性较强,且预测的精准度较高。本文的研究为后续光伏发电系统的优化应用与能源管理提供了重要的支撑,有利于推动光伏产业的可持续发展。

关键词： degradation model   failure mode   MOSFET reliability   semiconductor  

摘要： The metal-oxide-semiconductor field-effect transistor (MOSFET) is a critical semiconductor device widely used in electrical and electronic systems. The performance of systems depends on the component's reliability. More than 30% of failures of electronic and electrical systems are due to MOSFET failure. Industries are paying more apprehension towards the improvement of MOSFET reliability. Temperature stress is one of the key parameters to examine the reliability performance of semiconductor devices and to predict the lifetime of the components. This article provides a quick analysis of the MOSFET degradation models. The primary failure precursor metric that reflects the level of degradation is the MOSFET on-resistance R DS(on). In this paper, a linear, non-linear, and artificial neural network (ANN) deterioration model of MOSFETs is presented with the experimental data. The coefficient of determination (R-square), and root mean square error (RMSE) are used to compare the real data. Finally, it is demonstrated that the proposed model works well with experimental data. More than 500 data were trained for the proposed model. It can therefore predict the real-time conditioning monitoring of MOSFETs to increase the reliability of electrical systems.

关键词： quench   current sharing   HTS conductor   cryoelectronics   MOSFET   network modeling  

摘要： Superconducting magnets of future fusion reactors are expected to rely on composite high-temperature superconductor (HTS) cable conductors. In presently used HTS cables, current sharing between components is limited due to poorly defined contact resistances between superconducting tapes or by design. The interplay between contact and termination resistances is the defining factor for power dissipation in these cables and ultimately defines their safe operational margins. However, the current distribution between components along the composite conductor and inside its terminations is a priori unknown, and presently, no means are available to actively tune current flow distribution in real-time to improve margins of quench protection. Also, the lack of ability to electrically probe individual components makes it impossible to identify conductor damage locations within the cable. In this work, we address both problems by introducing active current control of current distribution between components using cryogenically operated metal-oxide-semiconductor-field-effect transistors (MOSFETs). We demonstrate through simulation and experiments how real-time current controls can help to drastically reduce heat dissipation in a developing hot spot in a two-conductor model system and help identify critical current degradation of individual cable components. Prospects of other potential uses of MOSFET devices for improved voltage detection, AC loss-driven active quench protection, and remnant magnetization reduction in HTS magnets are also discussed.

关键词： 变压器   溶解气体   乙炔超标  

摘要： 变压器作为电力系统的重要组成部分,及时发现变压器在运行过程中的内部潜伏性故障,对保障电力系统安全稳定运行具有重要意义,油中溶解气体分析是衡量变压器是否正常运行的重要指标之一。本文通过对330 kV主变压器在运行中绝缘油乙炔含量超标原因和故障点进行分析,介绍了检查处理过程,为变压器故障性质判断提供参考。

关键词： 数据驱动   LSTM循环神经网络   改进A^(*)算法  

摘要： 在传统变压器离散装配车间信息化、数字化、智慧化转型的背景下,生产物料的高效智能配送是亟待解决的问题。提出了一种物料备料、路径决策二阶段的生产物料智能配送方法,将物料配送任务分为生产物料备料阶段及生产物料路径自决策阶段。在生产物料备料阶段,提出了基于Adam优化LSTM循环神经网络的变压器生产物料备料时间预测模型,利用生产物料相关时序性数据将Adam优化后的LSTM循环神经网络模型进行训练,准确可靠地实现了对下一阶段生产物料需求时间的预测。在生产物料配送路径自决策阶段,运用五点三次法改进的A*算法生成了路径平滑,转向较少的配送路径。最后,以某变压器离散制造车间为对象,验证了生产物料的智能化配送方法。

关键词： 脑梗死   溶栓   溶栓流程优化护理   救治效率   溶栓成功率  

摘要： 在脑梗死溶栓患者临床诊疗环节中运用溶栓流程优化护理干预模式,探究此模式在提高临床救治效率、溶栓成功率等方面的应用价值。方法 择取兴隆县人民医院一年期间治疗的脑梗死患者(样本纳入时间:2023.01至2023.12;样本纳入例数:90例),自愿接接收溶栓治疗干预。以护理模式的差异性视为分组根本原则,分为两组,即对照、观察,前后两者依次开展急诊常规护理、溶栓流程优化护理。探究两组应用价值。结果 与对照组(急诊常规护理)相比,观察组(溶栓流程优化护理)救治效率、干预后认知功能(MMSE)评分、溶栓成功率均更高,但干预后神经功能(NIHSS)评分、不良反应(皮肤黏膜出血/消化道出血/脑出血)发生率均更低(P<0.05)。结论 在脑梗死溶栓患者临床诊疗环节中运用溶栓流程优化护理干预模式,可显著提高临床救治效率即溶栓成功率,对调整与优化认知/神经等功能具备积极意义,且不良反应发生率较低,值得推荐。

关键词： 功率   侧加热器   米饭品质   电饭煲  

摘要： 为改善发热盘加热式电饭煲炊饭不均匀的问题,通过锅内热对流、含水率、炊饭不均匀率和感官评价等指标探讨侧加热器功率对米饭品质的影响。在普通的5 L电饭煲本体(P=750 W底功率+不同的侧加热器功率)上验证,实验表明侧加热器功率40 W时米饭均匀度最好,为6.85%;侧加热器功率20 W时的米饭均匀度与40 W时相似,为7.96%;侧加热器功率20 W和40 W时热对流测试锅内各点平滑度最好;而侧加热器功率80 W时米饭样品感官评价得分最高。研究结果显示,针对5 L本体、750 W底功率的电饭煲,匹配20 W~40 W的侧加热器对米饭品质改善效果最好。