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Journal of Modern Power Systems and Clean Energy 2019年第2期7卷 350-356页

作者： hongshan zhao Yufeng GAO Huihai LIU Lang LI School of Electrical and Electronic Engineering North China Electric Power University

In order to accurately identify a bearing fault on a wind turbine, a novel fault diagnosis method based on stochastic subspace identification(SSI) and multi-kernel support vector machine(MSVM) is proposed. Firstly, the collected vibration signal of the wind turbine bearing is processed by the SSI method to extract fault feature vectors. Then, the MSVM is constructed based on Gauss kernel support vector machine(SVM) and polynomial kernel SVM. Finally, fault feature vectors which indicate the condition of the wind turbine bearing are inputted to the MSVM for fault pattern recognition. The results indicate that the SSI-MSVM method is effective in fault diagnosis for a wind turbine bearing and can successfully identify fault types of bearing and achieve higher diagnostic accuracy than that of K-means clustering, fuzzy means clustering and traditional SVM.

关键词： Wind turbine Bearing Fault diagnosis Stochastic subspace identification(SSI) Multi-kernel support vector machine(MSVM)

TRAF3IP3 at the trans-Golgi network regulates NKT2 maturation via the MEK/ERK signaling pathway

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Cellular & Molecular Immunology 2020年第4期17卷 395-406页

作者： Xinwei Zhang Ke Wang Weijia zhao Li Cao Shusong Zhang Rong Jin Xiuyuan Sun Jie Hao Xiaojun Huang Mingzhao Zhu Hounan Wu hongshan zhao Qing Ge Department of Immunology School of Basic Medical SciencesPeking UniversityNHC Key Laboratory of Medical Immunology(Peking University)Beijing 100191China Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation Peking University People’s Hospital&Institute of HematologyBeijing 100044China Key Laboratory of Infection and Immunity Institute of BiophysicsChinese Academy of SciencesBeijing 100101China Peking University Medical and Health Analytical Center Peking University Health Science CenterBeijing 100191China Department of Integration of Chinese and Western Medicine School of Basic Medical SciencesPeking UniversityBeijing 100191China

Thymic natural killer T(NKT)2 cells are a subset of invariant NKT cells with PLZF^(hi)GATA3^(hi)IL-4^(+).The differentiation of NKT2 cells is not fully *** the present study,we report an important role of TRAF3-interacting protein 3(TRAF3IP3)in the functional maturation and expansion of committed NKT2s in thymic *** with T-cell-specific deletion of TRAF3IP3 had decreased thymic NKT2 cells,decreased IL-4-producing peripheral iNKTs,and defects in response toα-*** selection and high PLZF expression in CD24^(+)CD44^(−) and CCR7^(+)CD44^(−) immature iNKTs were not *** CD44^(hi)NK1.1^(−) iNKTs in Traf3ip3^(−/−) mice showed reduced expression of Egr2,PLZF,and IL-17RB,decreased proliferation,and reduced IL-4 production upon *** Egr2 and IL-4 expression was augmented by MEK1/ERK activation in iNKTs,and TRAF3IP3 at the trans-Golgi network recruited MEK1 and facilitated ERK phosphorylation and nuclear *** βR-regulated bone marrow-derived nonlymphoid cells in the medullary thymic microenvironment were required for MEK/ERK activation and NKT2 *** data demonstrate an important functional maturation process in NKT2 differentiation that is regulated by MEK/ERK signaling at the trans-Golgi network.

关键词： TRAF3IP3 NKT2 cells MEK/ERK signaling Functional maturation

Hierarchical Coordinated Control for Power System Voltage Using Linear Temporal Logic

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Engineering（科研） 2009年第2期1卷 117-126页

作者： hongshan zhao Hongliang GAO Yang XIA 不详

The paper proposed an approach to study the power system voltage coordinated control using Linear Temporal Logic (LTL). First, the hybrid Automata model for power system voltage control was given, and a hierarchical coordinated voltage control framework was described in detail. In the hierarchical control structure, the high layer is the coordinated layer for global voltage control, and the low layer is the power system controlled. Then, the paper introduced the LTL language, its specification formula and basic method for control. In the high layer, global voltage coordinated control specification was defined by LTL specification formula. In order to implement system voltage coordinated control, the LTL specification formula was transformed into hybrid Automata model by the proposed algorithms. The hybrid Automata in high layer could coordinate the different distributed voltage controller, and have constituted a closed loop global voltage control system satisfied the LTL specification formula. Finally, a simple example of power system voltage control include the OLTC controller, the switched capacitor controller and the under-voltage shedding load controller was given for simulating analysis and verification by the proposed approach for power system coordinated voltage control. The results of simulation showed that the proposed method in the paper is feasible.

关键词： Power Systems Voltage Control Linear Temporal Logic Hierarchical Coordinated Control Hybrid Automata

Homeobox B8 Targets Sterile Alpha Motif Domain-Containing Protein 9 and Drives Glioma Progression

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Neuroscience Bulletin 2020年第4期36卷 359-371页

作者： Wenping Ma Hongze Jin Wenjie Liu Xiaojuan Li Xingang Zhou Xinwu Guo Runfa Tian Qi Cui Junjie Luo Yueying Jiao Youtao Yu Haifeng Yang hongshan zhao Department of Medical Genetics School of Basic Medical SciencesPeking University Health Science CenterBeijing 100191China Department of Neurosurgery Beijing Tiantan HospitalCapital Medical UniversityBeijing 100050China Beijing Neurosurgical Institute Beijing 100050China The Second Affiliated Hospital of Zhejiang University School of Medicine Changxing CampusChangxing 313100China Department of Hepatobiliary Surgery National Cancer Center/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100021China Department of Radiology The First Hospital of Harbin Medical UniversityHarbin 150001China Department of Pathology Beijing Ditan HospitalCapital Medical UniversityBeijing 100015China Sansure Biotech Inc. Changsha 410205China Department of Intervention Therapy The Fourth Medical Center of PLA General HospitalBeijing 100037China Department of Neurosurgery Sanbo Brain HospitalCapital Medical UniversityBeijing 100093China

Gliomas are the most commonly occurring tumors of the central nervous system. Glioblastoma multiforme (GBM) is the most malignant and aggressive brain cancer in adults. Further understanding of the mechanisms underlying the aggressive nature of GBM is urgently needed. Here we identified homeobox B8(HOXB8), a member of the homeobox family, as a crucial contributor to the aggressiveness of GBM. Data mining of publicly accessible RNA sequence datasets and our patient cohorts confirmed a higher expression of HOXB8 in the tumor tissue of GBM patients, and a strong positive correlation between the expression level and pathological grading of tumors and a negative correlation between the expression level and the overall survival rate. We next showed that HOXB8 promotes the proliferation and migration of glioblastoma cells and is crucial for the activation of the PI3K/AKT pathway and expression of epithelial–mesenchymal transition-related genes, possibly through direct binding to the promoter of SAMD9 (Sterile Alpha Motif Domain-Containing Protein 9) and activating its transcription. Collectively, we identified HOXB8 as a critical contributor to the aggressiveness of GBM, which provides insights into a potential therapeutic target for GBM and opens new avenues for improving its treatment outcome.

关键词： HOXB8 Glioma Aggressiveness SAMD9 Treatment

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电力系统内-外点优化潮流算法

电工技术学报 2010年第4期25卷 129-134页

作者：赵洪山陈博华北电力大学电气与电子工程学院保定071003

提出了利用内-外点算法(IEPM)求解电力系统最优潮流问题。内点法(IPM)具有全局收敛性好的优点,但有时在最优点附近其收敛速度会降低,而外点法(EPM)在满足二阶最优条件时具有1.5Q的超线性局部收敛速度。IEPM将原对偶内点法和外点法结合,... 详细信息

提出了利用内-外点算法(IEPM)求解电力系统最优潮流问题。内点法(IPM)具有全局收敛性好的优点,但有时在最优点附近其收敛速度会降低,而外点法(EPM)在满足二阶最优条件时具有1.5Q的超线性局部收敛速度。IEPM将原对偶内点法和外点法结合,利用内点法寻找全局最优点所在的邻域,当内点法收敛到全局最优点邻域时,转到外点算法继续进行优化潮流数值计算。内-外点优化潮流算法结合了内点法和外点法的各自优点,具有快速的全局收敛性和超线性局部收敛性。对4个IEEE标准测试系统和一个实际某区域685节点系统仿真结果表明,该方法能够保证优化潮流计算的全局收敛性,且收敛速度快,迭代次数少。

关键词：电力系统优化潮流内-外点法 KKT条件

基于MCKD-EMD的风电机组轴承早期故障诊断方法

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电力自动化设备 2017年第2期37卷 29-36页

作者：赵洪山李浪华北电力大学电气与电子工程学院河北保定071003

风电机组轴承处于早期故障阶段时,特征信号往往比较微弱,并且受环境噪声及信号衰减的影响严重,因此轴承早期故障特征一直难以提取。经验模态分解(EMD)在轴承的故障特征提取中已经得到了广泛的应用,但其在强背景噪声干扰下对轴承早期故... 详细信息

风电机组轴承处于早期故障阶段时,特征信号往往比较微弱,并且受环境噪声及信号衰减的影响严重,因此轴承早期故障特征一直难以提取。经验模态分解(EMD)在轴承的故障特征提取中已经得到了广泛的应用,但其在强背景噪声干扰下对轴承早期故障特征的提取具有一定的局限性。针对这一问题,考虑到最大相关峭度解卷积(MCKD)算法可凸显出轴承振动信号中被噪声所掩盖的故障冲击脉冲,非常适用于轴承早期故障信号的降噪处理,因此将MCKD与EMD相结合用于轴承早期故障诊断。用MCKD对强噪声轴承信号进行降噪,然后对降噪后的信号进行EMD,选取敏感本征模态函数(IMF)并计算其包络谱,通过分析包络谱中幅值凸出的频率成分判断故障类型。仿真和试验分析结果验证了所提方法的有效性和准确性。

关键词：风电机组轴承早期故障最大相关峭度解卷积经验模态分解

基于事件触发机制的直流微电网多混合储能系统分层协调控制方法

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电工技术学报 2020年第5期35卷 1140-1151页

作者：郭伟赵洪山华北电力大学电气与电子工程学院

以含有多个混合储能系统(HESS)的孤岛型直流微电网为研究对象,提出一种基于事件触发机制的HESS分层协调控制方法。底层采用虚拟电阻下垂控制,利用低通滤波器实现HESS内部蓄电池和超级电容的功率分配,并通过制定基于荷电状态(SOC)的控制... 详细信息

以含有多个混合储能系统(HESS)的孤岛型直流微电网为研究对象,提出一种基于事件触发机制的HESS分层协调控制方法。底层采用虚拟电阻下垂控制,利用低通滤波器实现HESS内部蓄电池和超级电容的功率分配,并通过制定基于荷电状态(SOC)的控制策略实现HESS间的协调安全运行。分布式控制层则利用稀疏通信网络对各HESS的平均电压和比例电流进行调控,以改善由于虚拟电阻和线路电阻导致的母线电压偏差较大和功率分配精度差的问题。在以上研究基础上,提出一种建立在周期性通信机制上的事件触发控制方法,利用Lyapunov稳定理论详细介绍事件触发函数的推导过程,并通过设定触发函数的预判阈值,进一步减少系统稳态运行时的通信次数。最后,利用Matlab/Simulink仿真分析验证了所提方法的有效性。

关键词：直流微网混合储能系统分布式控制事件触发

基于最大相关峭度解卷积和变分模态分解的风电机组轴承故障诊断方法

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太阳能学报 2018年第2期39卷 350-358页

作者：赵洪山李浪华北电力大学电气与电子工程学院

针对风电机组轴承故障特征难以提取的问题，提出一种基于最大相关峭度解卷积（maximum correlated kurtosis deconvolution，MCKD）和变分模态分解（variational mode decomposition，VMD）的轴承故障诊断方法。首先利用MCKD算法对轴承... 详细信息

针对风电机组轴承故障特征难以提取的问题，提出一种基于最大相关峭度解卷积（maximum correlated kurtosis deconvolution，MCKD）和变分模态分解（variational mode decomposition，VMD）的轴承故障诊断方法。首先利用MCKD算法对轴承振动信号进行降噪，然后对降噪后的信号进行VMD分解，并利用峭度指标筛选出敏感本征模态函数（intrinsic mode function，IMF），最后通过分析敏感IMF包络谱中幅值突出的频率成分判断故障类型。仿真和实验分析结果表明该方法可成功地提取出故障特征频率，实现风电机组轴承故障的有效诊断。

关键词：风电机组轴承故障最大相关峭度解卷积变分模态分解

基于DMPC加权一致性算法的电池储能阵列分组控制策略

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电力自动化设备 2020年第1期40卷 133-140页

作者：郭伟赵洪山华北电力大学电气与电子工程学院

为了解决由多个电池单元组成的大容量电池储能阵列系统(BESAS)的优化运行问题,提出了一种基于分布式模型预测控制的加权一致性算法。首先,介绍了含风电场BESAS的构成,将多个电池储能单元划分为充电组和放电组,通过制定合理的组间协调策... 详细信息

为了解决由多个电池单元组成的大容量电池储能阵列系统(BESAS)的优化运行问题,提出了一种基于分布式模型预测控制的加权一致性算法。首先,介绍了含风电场BESAS的构成,将多个电池储能单元划分为充电组和放电组,通过制定合理的组间协调策略,在不影响BESAS额定功率的前提下,提高储能系统的容量利用率和减少充/放电转换次数;然后,详细地介绍了所提分布式算法的计算过程,并将该算法应用于BESAS的分组控制过程,实现兼顾电池单元安全运行的功率自适应分配;最后,通过算例从算法性能和BESAS控制性能2个方面进行仿真验证,结果表明所提算法和分组控制策略在鲁棒性和控制效果方面均具有一定的优势和可行性。

关键词：风电电池储能阵列系统分布式模型预测控制加权一致性算法协调控制

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奖惩机制下虚拟电厂优化调度效益分析

电网技术 2017年第9期41卷 2840-2846页

作者：赵洪山刘然华北电力大学电气与电子工程学院河北省保定市071003

虚拟电厂(virtual power plant,VPP)是聚合分布式发电、分布式储能及需求响应等分布式能源(distributed energy resources,DERs)进行统一管理并参与电力市场的有效技术形式。而VPP的功率不确定性问题不仅对其内部运行提出了挑战而且对... 详细信息

虚拟电厂(virtual power plant,VPP)是聚合分布式发电、分布式储能及需求响应等分布式能源(distributed energy resources,DERs)进行统一管理并参与电力市场的有效技术形式。而VPP的功率不确定性问题不仅对其内部运行提出了挑战而且对提供给系统良好服务构成威胁。通过分析VPP市场合同实施、随机发电出力和可中断负荷响应的功率不确定性,建立了相应奖惩机制,即市场合同违约惩罚机制、弃风弃光惩罚机制和可中断负荷响应奖惩机制。基于奖惩机制,兼顾VPP运行经济和风险效益,制定了VPP协调调度策略。以VPP净利润最大为目标,兼顾系统运行约束,建立了奖惩机制下的VPP优化调度模型。通过对改进IEEE30系统算例仿真,验证了所提模型的有效性。

关键词：分布式能源功率不确定性奖惩机制虚拟电厂调度策略优化调度