Conductor Arrangement and Phase Sequence Optimization Scheme for 500 kV Four-Circuit Transmission Lines on Same Tower

The four-circuit parallel line on the same tower effectively solves the problems faced by the line reconstruction and construction under the condition of the increasing shortage of transmission corridors.Optimizing the conductor and phase sequence arrangement of multiple transmission lines is conducive to improving electromagnetic and electrostatic coupling caused by electromagnetic problems.This paper uses the ATP-EMTP simulation software to build a 500 kV multi-circuit transmission line on the same tower.It stimulates the induced voltage and current values of different line lengths,tower spacing,vertical and horizontal spacing between different circuits,phase sequence arrangement,and nominal tower height.Moreover,use the BP neural network optimized by a genetic algorithm to predict the induced voltage and current under the unknown conductor and phase sequence arrangement.Finally,based on multi-objective particle swarm algorithm to construct the optimization model of conductor arrangement scheme of overhead transmission line,combined with electromagnetic environment control index,determine the optimal conductor arrangement scheme by the size of particle fitness function,a significant reduction in induced voltages and currents between transmission lines and the four-circuit conductor layout scheme meeting the requirements of the electromagnetic environment is obtained,which provides a reference for the tower design of the transmission station project.

Low-complexity PTS scheme based on phase factor sequences optimization

In this paper, a new partial transmit sequence（PTS）scheme with low computational complexity is proposed for the problems of high computational complexity in the conventional PTS method. By analyzing the relationship of candidate sequences in the PTS method under the interleaved partition method, it has been discovered that some candidate sequences generated by phase factor sequences have the same peak average power ratio（PAPR）. Hence, phase factor sequences can be optimized to reduce their searching times. Then, the computational process of generating candidate sequences can be simplified by improving the utilization of data and minimizing the calculations of complex multiplication. The performance analysis shows that, compared with the conventional PTS scheme, the proposed approach significantly decreases the computational complexity and has no loss of PAPR performance.

An Optimal Sorting of Pulse Amplitude Sequence Based on the Phased Array Radar Beam Tasks

The study of phased array radar( PAR) pulse amplitude sequence characteristics is the key to understand the radar's working state and its beam's scanning manner.According to the principle of antenna pattern formation and the searching and tracking modes of beams,this paper analyzes the characteristics and differences of pulse amplitude sequence when the radar beams work in searching and tracking modes respectively.Then an optimal sorting model of pulse amplitude sequence is established based on least-squares and curve-fitting methods.This method is helpful for acquiring the current working state of the radar and recognizing its instantaneous beam pointing by sorting the pulse amplitude sequence without the necessity to estimate the antenna pattern.

Delay enhancement patterns in apical hypertrophic cardiomyopathy by phase-sensitive inversion recovery sequence

Objective:Late gadolinium enhancement(LGE) patterns of cardiovascular magnetic resonance (CMR) relying on PSIR(phase-sensitive inversion recovery sequence) techniques had been used to determine the characteristics of LGE in apical hypertrophic cardiomyopathy(ApHCM). Methods:Forty patients pure ApHCM[age,(60.2±10.4) years,31 men]were enrolled.LGE images were acquired using PSIR,and analyzed using a 17-segment model.Summing the LGE areas in all short axis slices yielded the total volume of late enhancement,which was subsequently presented as a proportion of total LV myocardium(%LGE).Results:Mean maximal apical wall thickness was(17.9±2.3) mm,and mean left ventricular(LV) ejection fraction was(67.7±8.0)%.LGE was detected in 130 segments of 30 patients(75.0%),occupying(4.9±5.5)% of LV myocardium.LGE was mainly detected at the junction between left and right ventricles in 12(30%) and at the apex in 28(70%),although LGE-positive areas were widely distributed,and not limited to the apex.Focal LGE at the non-hypertrophic LV segments was found in some ApHCM patients,even without LGE of hypertrophied apical segments.Conclusions:LGE was frequently observed not only in the thickened apex of the heart but also in other LV segments,irrespective of the presence or absence of hypertrophy.The simple presence of LGE on CMR was not representative of adverse prognosis in this population.

Particle Swarm Optimization Algorithm Based on Chaotic Sequences and Dynamic Self-Adaptive Strategy

To deal with the problems of premature convergence and tending to jump into the local optimum in the traditional particle swarm optimization, a novel improved particle swarm optimization algorithm was proposed. The self-adaptive inertia weight factor was used to accelerate the converging speed, and chaotic sequences were used to tune the acceleration coefficients for the balance between exploration and exploitation. The performance of the proposed algorithm was tested on four classical multi-objective optimization functions by comparing with the non-dominated sorting genetic algorithm and multi-objective particle swarm optimization algorithm. The results verified the effectiveness of the algorithm, which improved the premature convergence problem with faster convergence rate and strong ability to jump out of local optimum.

Binary Phase Shaping and SHG Contrast Ratios

Finding binary sequences with Large SHG ratios is very important in the field of ultrafast science, biomedical optics, high-resolution microscopy and label-free imaging. In this paper, we have demonstrated the relation between the SHG contrast ratio and the traditional Merit Factor values. And in the light from known results in Merit Factor Problems, we have shown that Legendre Sequences or Jacobi Sequences, are still the best candidates to obtain binary sequences with large SHG contrast ratios. The authors also discussed the SHG behaviors on some sequences obtained from cyclotomic classes over the finite field GF (2l) .

Approach to blind estimation of the PN sequence in DS-SS signals with residual carrier

This paper presents an approach of singular value de- composition plus digital phase lock loop to solve the difficult problem of blind pseudo-noise （PN） sequence estimation in low signal to noise ratios （SNR） direct sequence spread spectrum （DS-SS） signals with residual carrier. This approach needs some given parameters, such as the period and code rate of PN sequence. The received signal is firstly sampled and divided into non-overlapping signal vectors according to a temporal window, whose duration is two periods of PN sequence. An autocorrelation matrix is then computed and accumulated by those signal vectors one by one. The PN sequence with residual carrier can be estimated by the principal eigenvector of the autocorrelation matrix. Further more, a digital phase lock loop is used to process the estimated PN sequence, it estimates and tracks the residual carrier and removes the residual carrier in the end. Theory analysis and computer simulation results show that this approach can effectively realize the PN sequence blind estimation from the input DS-SS signals with residual carrier in lower SNR.

FAREY SEQUENCE OF NONLINEAR DIFFERENTIAL DYNAMIC SYSTEM IN TWO DIMENSIONS

In this paper , through the discrim ination of Farey sequence in the forced Brusselator withweak coupling , it is proved that there is a topological translation fro m a nonlinear differen tial system ( limit cycle) to the circle m ap .

Low dimensional chaos in the AT and GC skew profiles of DNA sequences

This paper investigates the existence of low-dimensional deterministic chaos in the AT and GC skew profiles of DNA sequences. It has taken DNA sequences from eight organisms as samples. The skew profiles are analysed using continuous wavelet transform and then nonlinear time series methods. The invariant measures of correlation dimension and the largest Lyapunov exponent are calculated. It is demonstrated that the AT and GC skew profiles of these DNA sequences all exhibit low dimensional chaotic behaviour. It suggests that chaotic properties may be ubiquitous in the DNA sequences of all organisms.

High efficiency spreading spectrum modulation using double orthogonal complex sequences

This paper presents a novel scheme of high efficiency spreading spectrum modulation using double orthogonal complex sequences （DoCS）. In this scheme, input data bit-stream is split into many groups with length M. Each group is then mapped into a word of width M and then utihzed to select one sequence from 2u-2 DoCS sequences each with length L. After that, the selected sequence is modulated on carrier in quadrature phase shift keying （QPSK） mode. In addition, a new method named forward phase correction （FPC） is put forward for carrier recovery. Theoretical analysis and bit-error-ratio（BER） experiment results indicate that the proposed scheme has better performance than the conventional direct sequence spread spectrum（DSSS） scheme both in bandwidth efficiency and processing gain of the receiver.

基于一种新型正弦幅值积分器的谐波检测方法

针对基于瞬时无功理论的ip-iq谐波检测法结构复杂、响应速度慢等问题,提出了一种采用改进正弦幅值积分器结构的谐波电流检测方法。首先,利用二阶广义积分器的输出滤波特性及正弦幅值积分器的极性选择特性,使其相结合构造出了一种滤波性能更强,同时具有频率及极性选择作用的新型积分器。然后,利用该积分器快速准确地提取基波正序分量,并有效应用于谐波检测环节中。当电网电压存在直流偏置问题时,该积分器所构造的锁相环也能准确锁定电网频率及相位信息。最后,理论分析及仿真实验结果表明:该方法无需进行瞬时对称分量分离,就可提取出电网电压及负载电流基波的正负序分量,计算量小,谐波检测更精确。

基于长度可变密钥的光学图像加密方法

为提升光学图像加密效果,设计了一种基于长度可变密钥的光学图像加密方法。基于混沌方程构成混沌序列均匀化普适算法,运用该算法生成均匀化伪随机序列,以此作为长度可变密钥,经空间光调制器调制后,转换此类密钥为伪随机相位掩模(PRPM),运用两个转换后PRPM双重随机相位编码初始光学图像,并结合变形分数傅里叶变换(AFrFT),相位转换编码后光学图像,获得加密光学图像,完成光学图像加密。实验结果显示,该方法可针对不同光学图像生成敏感性与唯一性密钥,实现不同光学图像的加密处理,加密效果显著,加密光学图像的像素频数分布均匀,且解密后光学图像与初始光学图像几乎一致,整体加解密效果理想,可有效保障光学图像的安全性,而且本方法可以在最短3 s的时间内完成光学图像的加密和解密,加解密效率更高,综合效果更佳。

基于单相双旋转移相变压器的高速铁路系统负序补偿方法

针对高速铁路供电系统在高压电网引起的负序问题,该文参考旋转潮流控制器(RPFC)和静止无功补偿器(SVG)结构,提出一种基于单相双旋转移相变压器(S-DRPST)的新型负序补偿拓扑。首先,分析S-DRPST的工作原理并建立其稳态电压源模型。其次,在V/x牵引供电系统应用场景下,提出S-DRPST的负序电流补偿方法,即根据供电臂负载功率计算所需补偿电流表达式,进而得到两台S-DRPST输出电压幅值与相位,通过调节移相角大小实现电网侧电流的平衡。在此基础上,对单台S-DRPST移相角控制进行设计,补偿设备投入前利用柔性合环减小对牵引网的冲击,投入后采取移相角协调变速控制,使得移相角在接近设定值时降低转速,同时根据角度偏差协调转速控制,从而抑制输出电压振荡现象。最后,利用Matlab/Simulink软件搭建牵引供电系统进行仿真验证,在合环场景下将S-DRPST柔性投入牵引网,仅a相供电臂带负载的情况下,电压不平衡度从4.81%降低到了0.05%,在计及供电臂制动状态时不同工况的不平衡电压均被控制在0.1%以下,在牵引负载快速连续变化下S-DRPST能及时响应补偿负序电流,结果表明S-DRPST在高速铁路供电系统中具有良好的负序补偿效果。

星间链路通信收发一体化系统设计

随着卫星制造发射成本的降低以及全球通信需求的增加,低轨星间链路技术成为研究热点;星间链路可将多颗卫星互联,建立具有导航和通信功能的自主运行系统,可靠的通信技术是当前的研究重点;为了适应外太空具有较大多普勒频移的高动态环境,设计了星间链路通信收发一体化系统;发射端采用UQPSK直接序列扩频技术,双通道架构可同时完成不同速率的导航与通信数据的发射,再运用LDPC编码技术提升数据发射速率与稳定性;接收端采用改进的PMF-FFT分段捕获算法与归一化最小和LDPC译码算法,以快速准确捕获星间信息;在FPGA硬件平台经过多次测试,该系统均可在高动态环境下,正确快速捕获到多普勒频移高达±341 kHz的信号,捕获算法时间均可保持在200 ms以内,符合实际应用中的性能需求。

手跳线路分相断路器失灵时预防事故扩大的方法

现场出现了几起手跳分相断路器时一相或两相断路器失灵的情况,但目前的规范并未要求手跳断路器失灵时启动失灵保护,若由零序过流保护动作切除负荷电流,可能导致事故扩大。目前南网220 kV线路保护通过修改软件实现了三相不一致和单相运行三跳动作后远跳线路对侧,但国网以及南网有些地区的保护不具备软件升级条件,提出了将手跳继电器触点和断路器三相位置不一致状态触点串联后接入纵联电流差动保护的其他保护动作开入方法。该方法简单可靠,便于实施。

抗冲共聚聚丙烯性能优化与结构分析

对工艺优化前后的两批抗冲共聚聚丙烯EPS30R产品进行了性能与结构组成研究。对比研究结果表明:优化后的EPS30R冲击强度和弯曲模量均有提高,从结构组成上看,两批EPS30R产品的分子质量及分布基本一致;与EPS30R-1相比,刚韧平衡性更好的EPS30R-2乙烯含量高、橡胶相尺寸更小、分散更均匀,同时其二甲苯可溶物(XS)含量更高且可溶部分特性黏数更高,这些结构特点是使产品冲击性能更高的主要因素;序列结构rr含量低对保持聚丙烯产品刚性有利。

基于故障序电流幅相特性的含分布式电源配电网纵联保护方案

【目的】随着分布式电源(distributed generator,DG)在传统配电网的不断接入,给配电网保护配置带来了严峻的挑战。为应对这一问题,对配电网线路故障时,不同类型DG的故障电流幅相特性进行了分析,在此基础上提出了一种基于故障序电流幅相特性的配电网纵联保护方案。【方法】该方案利用线路两端的各序故障电流幅值和相位差特征,分别构造保护动作量及制动量。通过合理设置保护参数来应对不同类型DG接入下,新型配电网继电保护选择性、灵敏性所面临的问题。【结果】通过RTDS搭建仿真算例进行了方案验证,结果表明,该方案整定简单,无需在运行阶段对保护阈值实时调整,对设备算力要求较低的同时具有良好的动作性能。

基于低压侧负序量特征的小电流系统单相接地故障检测方法

随着台区智能终端量测技术的逐步成熟,实现低压侧全息感知的同时,具备对上级中压配网的多点监测能力。提出基于低压侧负序量特征的小电流系统单相接地故障检测方法。分析了中压侧发生单相接地故障后低压侧负序量的变化规律;利用负序电流大小区分故障线路和非故障线路;提出通过负序电压与正序电压的比值系数,多点协同计算对比判断故障点区段位置,且考虑了低压侧不平衡负荷,以及故障点位于线路一端的特殊情况。通过MATLAB软件和动模实验对中低压联合配电系统的仿真计算,验证了所提方法具有良好的鲁棒性和准确性。通过智能配变终端监测上级中压配网负序量信息,实现小电流接地系统故障检测,具有实际应用和推广价值。

云南盐津2个地震序列震源参数测定及发震构造探讨

2021年1月23日云南盐津发生M L5.2地震,在此次地震前后该区域已经发生了多次中小地震。为了更好地评估该地区的地震危险性及识别发震构造,利用云南和四川地震台网的近震波形资料,采用CAP方法和2种速度模型反演了盐津M L≥3.5地震的震源机制解和震源深度,结合sPn深度震相测定了盐津M L5.2地震的震源深度,最后采用双差定位法对盐津地震序列进行重定位。结果表明:①最大震级为M L5.2的“孤立型”地震序列发震断层为逆断层,走向近SN向、倾向东、倾角约50°,是一次沿断层面自下而上破裂较为充分的浅源地震;②最大震级为M L3.9的“震群型”地震序列发震断层为走滑型断层,走向为NNW向、倾向北东、倾角约为80°,该序列内3次M L≥3.5地震的震源机制解略有差异,可能是由于该区域复杂的断层结构和应力环境影响所致;③最大震级为M L3.9的“震群型”地震序列的发震断层可能为盐津—筠连断裂,而最大震级为M L5.2的“孤立型”地震序列的发震断层可能为华蓥山断裂与盐津—筠连断裂共同作用产生的一条未知隐伏断裂。

适应于逆变型风电接入系统的改进故障序分量选相方法

针对传统故障序分量选相元件在逆变型风电接入系统中可靠性较低的问题,提出了一种改进的故障序分量选相方法。首先,分析在最新风电场低电压穿越策略下,风电侧的故障序阻抗特性及传统故障序分量选相元件的适应性。然后,利用负正序、负零序阻抗相位差等效正负序、零负序电流分支系数相位差,以补偿传统序分量选相判据的相角误差。最后,采用补偿后的故障序电流相位差作为选相判据,实现了故障相的判别。同时通过调整零负序选相分区,使其具有较好的耐过渡电阻能力。仿真实验表明,在不同故障类型、故障位置和过渡电阻下改进选相方法均能可靠地选出故障相。