Temperature measurement based on radialization power for micro-hotplate

A novel method to measure the temperature on the surface of micro-hotplate was presented. The tiny fiber probe and the optical power meter were employed to measure the sample radialization power. By means of comparing the relationship between the radialization power and the temperature, sample surface temperature can be discerned accurately. Such an approach has provided more accuracy than traditional temperature measurements. The experimental result based on this method is quite similar to that of simulation by the finite element analysis (FEA) software of Ansys in theory. This measurement is very useful for measuring temperature for these micro samples prone to be untouchable.

Grey series time-delay predicting model in state estimation for power distribution networks

A new combined model is proposed to obtain predictive data value applied in state estimation for radial power distribution networks. The time delay part of the model is calculated by a recursive least squares algorithm of system identification, which can gradually forget past information. The grey series part of the model uses an equal dimension new information model (EDNIM) and it applies 3 points smoothing method to preprocess the original data and modify remnant difference by GM(1,1). Through the optimization of the coefficient of the model, we are able to minimize the error variance of predictive data. A case study shows that the proposed method achieved high calculation precision and speed and it can be used to obtain the predictive value in real time state estimation of power distribution networks.

Tensile Stiffness Analysis on Ocean Dynamic Power Umbilical

Tensile stiffness of ocean dynamic power umbilical is an important design parameter for functional implementation and structural safety. A column with radial stiffness which is wound by helical steel wires is constructed to predict the tensile stiffness value of umbilicals in the paper. The relationship between the tension and axial deformation is expressed analytically so the radial contraction of the column is achieved in the relationship by use of a simple finite element method. With an agreement between the theoretical prediction and the tension test results, the method is proved to be simple and efficient for the estimation of tensile stiffness of the ocean dynamic power umbilical.

Fuzzy vs. Probabilistic Techniques to Address Uncertainty for Radial Distribution Load Flow Simulation

For Power distribution system the most important task for distribution engineer is to efficiently simulate the system and address the uncertainty using a suitable mathematical method. This paper presents a comparison of two methods used in analyzing uncertainties. The first method is Montecarlo simulation (MCS) that considers input parameters as random variables and second one is fuzzy alpha cut method (FAC) in which uncertain parameters are treated as fuzzy numbers with given membership functions. Both techniques are tested on a typical Load flow solution simulation, where connected loads are considered as uncertain. In order to provide a basis for comparison between above two approaches, the shapes of the membership function used in the fuzzy method is taken same as the shape of the probability density function used in the Monte Carlo simulations. For more than one uncertain input variable, simulation result indicates that MCS method provides better output results compared to FAC, however takes more time due to number of runs. FAC provides an alternate method to MCS when addressing single or limited input variables and is fast.

Novel transit-time oscillator(TTO) combining advantages of radial-line and axial TTO

A novel transit-time oscillator(TTO)is proposed in this paper.An axial cathode which has been widely used in high power microwave(HPM)source and an extractor with radial feature are adopted.In this way,the inherent advantages of axial and radial TTO,both of which can be utilized as high-quality intense relativistic electron beam(IREB),can be generated and the power capacity is also increased.The working mode isπ/2 mode of TM01 based on small-signal theory,and under the same energy storage,the maximum electric field in extractor decreases 16.3%.Besides,by utilizing the natural bending of the solenoid,this TTO saves over 60%of the length required by the uniform magnetic field,and consequently reduces the energy consumed by solenoid.The PIC simulation shows that by using 1.0-T decreasing magnetic field generated by the shorter solenoid,3.37-GW microwave at 12.43 GHz is generated with 620-kV and 13.27-kA input,and the overall conversion efficiency is 41%.

The Influence of Radial Area Variation on Wind Turbines to the Axial Induction Factor

Improvements in the aerodynamic design will lead to more efficiency of wind turbines and higher power production. In the present study, a 3D parametric gas turbine blade geometry building code, 3DBGB, has been modified in order to include wind turbine design capabilities. This approach enables greater flexibility of the design along with the ability to design more complex geometries with relative ease. The NREL NASA Phase VI wind turbine was considered as a test case for validation and as a baseline by which modified designs could be compared. The design parameters were translated into 3DBGB input to create a 3D model of the wind turbine which can also be imported into any CAD program. Design modifications included replacing the airfoil section and modifying the thickness to chord ratio as a function of span. These models were imported into a high-fidelity CFD package, Fine/TURBO by NUMECA. Fine/TURBO is a specialized CFD platform for turbo-machinery analysis. A code-geomturbo was used to convert the 3D model of the wind turbine into the native format used to define geometries in the Fine/TURBO meshing tool, AutoGrid. The CFD results were post processed using a 3D force analysis code. The radial force variations were found to play a measurable role in the performance of wind turbine blades. The radial component of the blade surface area as it varies in span is the dominant contributor of the radial forces. Through the radial momentum equation, this radial force variation is responsible for creating the streamline curvature that leads to the expansion of the streamtube (slipstream) that is responsible for slowing the wind velocity ahead of the wind turbine leading edge, which is quantified as the axial induction factor. These same radial forces also play a role in changing the slipstream for propellers. Through the design modifications, simulated with CFD and post-processed appropriately, this connection with the radial component of area to the radial forces to the axial induction factor, and finally the wind turbine power is demonstrated. The results from the CFD analysis and 3D force analysis are presented. For the case presented, the power increases by 5.6% due to changes in airfoil thickness only.

Scattering of shear waves by an elliptical cavity in a radially inhomogeneous isotropic medium

Complex function and general conformal mapping methods are used to investigate the scattering of elastic shear waves by an elliptical cylindrical cavity in a radially inhomogeneous medium. The conformal mappings are introduced to solve scattering by an arbitrary cavity for the Helmholtz equation with variable coefficient through the transformed standard Helmholtz equation with a circular cavity. The medium density depends on the distance from the origin with a power-law variation and the shear elastic modulus is constant. The complex-value displacements and stresses of the in.homogeneous medium are explicitly obtained and the distributions of the dynamic stress for the case of an elliptical cavity are discussed. The accuracy of the present approach is verified by comparing the present solution results with the available published data. Numerical results demonstrate that the wave number, inhomogeneous parameters and different values of aspect ratio have significant influence on the dynamic stress concentration factors around the elliptical cavity.

Investigation of Connecting Wind Turbine to Radial Distribution System on Voltage Stability Using SI Index and λ - V Curves

The growth of wind energy penetration level in distribution system raises the concern about its impact on the operation of the power system, especially voltage stability and power loss. Among the major concerns, this paper studied the impact of connecting wind Turbine (WT) in radial distribution system with different penetration levels and different power factor (lead and lag) on power system voltage stability and power loss reduction. Load flow calculation was carried out using forward-backward sweep method. The analysis proceeds on 9- and 33-bus radial distribution systems. Results show that voltage stability enhancement and power loss reduction should be considered as WT installation objective.

太赫兹间隙波导径向功率合成技术研究

针对太赫兹固态功放研制对于低损耗功率合成器的需求,基于间隙波导技术在200~240 GHz的频段开发了一种4路波导径向功率合成器。经无源测试,该间隙波导径向合成器的回波损耗优于-15 dB,无源合成效率达到了88.7%,展现出了间隙波导在太赫兹频段的低损耗特性。通过封装2只GaN功放芯片形成功率模块为基本单元,进一步开展有源功率合成,最终在220 GHz实现了311 mW的峰值输出功率,在200~240 GHz的频率范围内平均功率合成效率为81%。

Nadi Yantra: a robust system design to capture the signals from the radial artery for assessment of the autonomic nervous system non-invasively

Ayurvedic and other alternative medical practi-tioners throughout the world have been using pulse diagnosis to detect disease and the organ at distress by feeling the palpations at three close yet precise positions of the radial artery. This paper presents a robust electro-mechanical system, ‘Nadi Yantra’ which uses piezoelectric based pressure sensors to capture the signals from the radial artery. Morphology of the waveforms obtained from our system concurs with standard physiological arterial signals. Reproducibility and stability of the system has been verified. Signal processing techniques were applied to obtain features such as amplitude, power spectral density, bandpower and spectral centroid to reflect variations in signals from the three channels. Further, wavelet based techniques were used to process the pressure signals and percussion peaks were identified. The interval between the percussion peaks was used to calculate Heart Rate Varibility (HRV), a useful tool for assessing the status of the autonomic nervous system of the human body non-invasively. Time domain indices were calculated from direct measurement of peak-peak (PP) intervals and from differences between the PP intervals. Frequency domain indices such as very low frequency (VLF) power, low frequency (LF) power, high frequency (HF) power, LF/HF ratio were also calculated. Thereafter, nonlinear Poincare analysis was carried out. A map of consecutive PP intervals was fitted to an ellipse using least squares method. Results from 7 datasets are depicted in this paper. A novel pressure pulse recording instrument is deve loped for the objective assessment of the ancient sci-ence of pulse diagnosis. The features calculated using multi resolution wavelet analysis show potential in the evaluation of the autonomic nervous system of the human body.

Optimum Simultaneous Allocation of Renewable Energy DG and Capacitor Banks in Radial Distribution Network

Nowadays the optimal allocation of distributed generation (DG) in the distribution network becomes the popular research area in restructuring of power system. The capacitor banks introduced in the distribution networks for reactive power compensation also have the capacity to minimize the real and reactive power losses occurred in the system. Hence, this research integrates the allocation of renewable energy DG and capacitor banks in the radial distribution network to minimize the real power loss occurred in the system. A two-stage methodology is used for simultaneous allocation of renewable DG and capacitor banks. The optimum location of renewable energy DG and capacitor banks is determined using the distributed generation sitting index (DGSI) ranking method and the optimum sizing of DG and capacitor banks is found out for simultaneous placement using weight improved particle swarm optimization algorithm (WIPSO) and self adaptive differential evolution algorithm (SADE). This two-stage methodology reduces the burden of SADE and WIPSO algorithm, by using the DGSI index in determining the optimal location. Hence the computational time gets reduced which makes them suitable for online applications. By using the above methodology, a comprehensive performance analysis is done on IEEE 33 bus and 69 bus RDNs and the results are discussed in detail.

Dispersion Equation of the Coaxial-Radial Line

An all-metal slow-wave structure, coaxial-radial line, which is suitable for application in broadband high power traveling wave tube (TWT) and relativistic TWT as a RF system is introduced. Making use of the field matching method and variational method together with the orthogonality of the Bessel function and the Floquet Theroem for the periodic system, the dispersion characteristic expression is derived. This equation is more rigorous than that of precious reports.

Neural-Network-Based Terminal Sliding Mode Control for Frequency Stabilization of Renewable Power Systems

This paper addresses a terminal sliding mode control(T-SMC) method for load frequency control(LFC) in renewable power systems with generation rate constraints(GRC).A two-area interconnected power system with wind turbines is taken into account for simulation studies. The terminal sliding mode controllers are assigned in each area to achieve the LFC goal. The increasing complexity of the nonlinear power system aggravates the effects of system uncertainties. Radial basis function neural networks(RBF NNs) are designed to approximate the entire uncertainties. The terminal sliding mode controllers and the RBF NNs work in parallel to solve the LFC problem for the renewable power system. Some simulation results illustrate the feasibility and validity of the presented scheme.

Maximum power point tracking of a photovoltaic energy system using neural fuzzy techniques

In order to improve the output efficiency of a photovoltaic （PV） energy system, the real-time maximum power point （MPP） of the PV array should be tracked closely. The non-linear and time-variant characteristics of the photovoltaic array and the non-linear and non-minimum phase characteristics of a boost converter make it difficult to track the MPP as in traditional control strategies. A neural fuzzy controller （NFC） in conjunction with the reasoning capability of fuzzy logical systems and the learning capability of neural networks is proposed to track the MPP in this paper. A gradient estimator based on a radial basis function neural network is developed to provide the reference information to the NFC. With a derived learning algorithm, the parameters of the NFC are updated adaptively. Experimental results show that, compared with the fuzzy logic control algorithm, the proposed control algorithm provides much better tracking performance.

中国东北地区岩石圈有效弹性厚度及构造涵义研究

基于WGM2012布格重力异常数据,获取中国东北地区岩石圈有效弹性厚度T e分布。采用小波多尺度分解方法,反演区域不同深度地质体横向差异。结合地震重点监视地区(依舒断裂带北段地区、扎兰屯地区、长白山地区)地震活动特征,分析岩石圈深部构造与地震活动之间的关系。结果表明,依舒断裂带北段地区T_(e)约为15.5 km,岩石抗变形能力较弱,浅部密度横向差异较明显,震源深度较浅;扎兰屯地区T_(e)约为24.5 km,岩石抗变形能力较强,深部密度横向差异较大,震源深度较深;长白山地区T_(e)约为11.5 km,受西太平洋板块俯冲作用下的热地幔动力作用,地震活动相对较活跃。

局部进气裂解油气向心涡轮气动性能分析

为解决低进气量条件下油气涡轮功率与效率提升困难的问题,本文结合裂解油气物性特点,针对性地提出了局部进气裂解油气向心涡轮设计方案。通过数值仿真详细分析了向心式油气涡轮在设计工况下的内部流动特征,并总结了非设计工况下轮周效率随压比、转速以及正癸烷裂解度的变化规律与影响机制。仿真结果表明,本文所设计油气涡轮在0.5 kg/s进气量条件下可实现38.8 kW功率输出,轮周效率为68%,能够满足油气涡轮气动设计需求。根据结果分析可知,随着压比的增大,轮周效率呈现出先增大后减小的趋势:低压比条件下轮周效率增大主要与转子入口攻角损失有关;高压比条件下轮周效率降低则主要是由于激波损失及其引发的附面层分离损失不断增大导致的。研究表明,轮周效率随转速、裂解度发生变化时与转子入口攻角有直接关系,其中,油气工质裂解度每提高20%,涡轮轮周效率可提高13%左右。

基于RBF-LADRC的虚拟同步发电机控制策略

随着大规模分布式发电技术的出现,为支持微电网的稳定运行,提出虚拟同步发电机(VSG)技术。由于VSG常用的电压电流双闭环控制存在动态响应时间久、抗扰动能力弱的缺点,考虑LADRC对扰动具有更优异的动态响应速度,该文提出一种用于VSG电压外环控制的线性自抗扰控制方案,并采用RBF对LADRC中的关键参数进行在线整定,以实现控制器的实时优化。在Matlab/Simulink平台下搭建仿真模型,并对所提出的改进策略与传统控制策略进行仿真对照,结果显示该策略可有效提高并网环境下虚拟同步发电机功率和频率稳定性。

负幂次对数加权的Trudinger-Moser不等式

本文研究具有负幂次对数加权的Trudinger-Moser不等式.通过建立了一个径向引理,利用著名的Leckband泛函不等式证明了Calanchi和Ruf(2015)得到的对数加权Trudinger-Moser不等式在负幂次情形依然成立.

复杂裂纹涡流检测与评估方法研究

钢轨表面及上表面产生的滚动接触疲劳裂纹通常以斜裂纹或多角度复杂裂纹的形态存在,对其检测和评估是个难题。基于此,采用基于无线能量传输的涡流检测方法(WPT-ECT),设计新的探头结构并结合神经网络算法对裂纹进行检测和评估。首先,有别于现有WPT-ECT方法,采用增大激励频率,而非串并联电容的方式,构造谐振电路;其次,根据复杂裂纹的特点,设计由两个八字形激励线圈和两个矩形接收线圈组成的方向性探头结构;最后,充分提取检测信号的特征,并运用径向基神经网络算法对裂纹进行识别。仿真和实验结果表明,所提出的探头结构对任何角度的缺陷均敏感。同时,RBF算法对斜裂纹、T裂纹、Y裂纹和1.2 mm提离下的T裂纹的识别准确率分别为92.00%、95.27%、96.64%和89.50%。

基于小生境遗传算法与径向基代理模型的短期风电功率预测

为提高短期功率预测精度,以赋予风电被电网资产更大规模消纳的优势,建立一种基于主导特征影响因素和小生境遗传算法改进的径向基代理模型的滚动式短期(0~72 h)风电功率预测模型。首先,基于罚函数和排挤机制的小生境技术对传统基本遗传算法进行改进,以径向基代理模型(RBF)作为建模基础,利用改进后的遗传算法以反传误差极小为目标函数对RBF模型的连接权值进行优化,借助其寻优能力来获取最佳权值,以达成对RBF网络的改进和二次训练;然后,基于主导特征气象因素,结合改进的RBF模型最终建立N-SGA-RBF风电出力预测模型,对风电场连续3日0~72 h输出功率进行预测;最后,对N-SGA-RBF模型、RBF模型以及BP模型做预测结果趋势变化、各采样点绝对/相对误差分布、发电预测预报准确率和合格率的对比。以新疆东部某风电场实测数据进行算例验证分析,仿真结果表明,所建预测模型具有较高的精度。