Power Line Monitoring Data Transmission Using Wireless Sensor Network

The WSN used in power line monitoring is long chain structure, and the bottleneck near the Sink node is more obvious. In view of this, A Sink nodes’ cooperation mechanism is presented. The Sink nodes from different WSNs are adjacently deployed. Adopting multimode and spatial multiplexing network technology, the network is constructed into multi-mode-level to achieve different levels of data streaming. The network loads are shunted and the network resources are rationally utilized. Through the multi-sink nodes cooperation, the bottlenecks at the Sink node and its near several jump nodes are solved and process the competition of communication between nodes by channel adjustment. Finally, the paper analyzed the method and provided simulation experiment results. Simulation results show that the method can solve the funnel effect of the sink node, and get a good QoS.

Minimum Load-curtailment in Transmission Network Planning Considering Integrated Wind Farms

提出应用鲁棒线性优化理论来研究电网规划中含多个风电场的最小切负荷量计算问题,为含多个风电场的系统安全性研究提供了一条新的思路。根据Seng-Cheol Kang提出的鲁棒线性优化理论,建立电网规划中考虑风电场影响的最小切负荷量模型。该模型以出力上下限和出力期望值来描述风电场的出力,最终转化为一确定性的线性规划问题并进行求解。在计及或不计及发电机调整的情况下,该模型均能够给出最安全的切负荷方案,除此以外还能给出更多介于最可靠与最经济之间的切负荷方案,实现灵活决策;在计及发电机出力可调的情况下,该模型能够给出相应的发电机出力方案;该模型能够初步给出各种切负荷方案下电网规划方案的可靠程度。基于修正的Garver’s 6节点系统和修正的巴西南部46节点系统算例测试结果验证了该方法的有效性。

Optimal Design of Wireless Power Transmission Systems Using Antenna Arrays

Three design methods for wireless power transmission(WPT)systems using antenna arrays have been investigated.The three methods,corresponding to three common application scenarios of WPT systems,are based on the method of maximum power transmission efficiency(MMPTE)between two antenna arrays.They are unconstrained MMPTE,weighted MMPTE,and constrained MMPTE.To demonstrate the optimal design process with the three methods,a WPT system operating at 2.45 GHz is designed,simulated,and fabricated,in which the transmitting(Tx)array,consisting of 36 microstrip patch elements,is configured as a square and the receiving(Rx)array,consisting of 5 patch elements,is configured as an L shape.The power transmission efficiency(PTE)is then maximized for the three application scenarios,which yields the maximum possible PTEs and the optimized distributions of excitations for both Tx and Rx arrays.The feeding networks are then built based on the optimized distributions of excitations.Simulations and experiments reveal that the unconstrained MMPTE,which corresponds to the application scenario where no radiation pattern shaping is involved,yields the highest PTE.The next highest PTE belongs to the weighted MMPTE,where the power levels at all the receiving elements are imposed to be equal.The constrained MMPTE has the lowest PTE,corresponding to the scenario in which the radiated power pattern is assumed to be flat along with the Rx array.

Reducing the Short Circuit Levels in Kuwait Transmission Network

This paper describes the study analysis performed to evaluate the available and potential solutions to control the highly increasing short circuit （SC） levels in Kuwait power system. The real Kuwait High Voltage （HV） network was simulated to examine different measures at both 275 kV and 132 kV stations. The simulation results show that the short circuit currents exceed the permissible levels （40 kA in the 132 kV network and 63 kA in the 275 kV network） in some specific points. The examined measures include the a study on changing the neutral point policy, changing some lines from alternating current （AC） to direct current （DC）, dividing specific bus bars in some generating stations and applying current limiters. The paper also presents a new plan for the transmission network in order to manage the expected increase in short circuit levels in the future.

A Least-squares-based Iterative Method with Better Convergence for PF/OPF in Integrated Transmission and Distribution Networks

The limitations of the conventional master-slavesplitting(MSS)method,which is commonly applied to power flow and optimal power flow in integrated transmission and distribution(I-T&D)networks,are first analyzed.Considering that the MSS method suffers from a slow convergence rate or even divergence under some circumstances,a least-squares-based iterative(LSI)method is proposed.Compared with the MSS method,the LSI method modifies the iterative variables in each iteration by solving a least-squares problem with the information in previous iterations.A practical implementation and a parameter tuning strategy for the LSI method are discussed.Furthermore,a LSI-PF method is proposed to solve I-T&D power flow and a LSIheterogeneous decomposition(LSI-HGD)method is proposed to solve optimal power flow.Numerical experiments demonstrate that the proposed LSI-PF and LSI-HGD methods can achieve the same accuracy as the benchmark methods.Meanwhile,these LSI methods,with appropriate settings,significantly enhance the convergence and efficiency of conventional methods.Also,in some cases,where conventional methods diverge,these LSI methods can still converge.

Proactive Resilience Enhancement of Power Systems with Link Transmission Model-based Dynamic Traffic Assignment Among Electric Vehicles

The rapid development of electric vehicles(EVs)is strengthening the bi-directional interactions between electric power networks(EPNs)and transportation networks(TNs)while providing opportunities to enhance the resilience of power systems towards extreme events.To quantify the temporal and spatial flexibility of EVs for charging and discharging,a novel dynamic traffic assignment(DTA)problem is proposed.The DTA problem is based on a link transmission model(LTM)with extended charging links,depicting the interaction between EVs and power systems.It models the charging rates as continuous variables by an energy boundary model.To consider the evacuation requirements of TNs and the uncertainties of traffic conditions,the DTA problem is extended to a two-stage distributionally robust version.It is further incorporated into a two-stage distributionally robust unit commitment problem to balance the enhancement of EPNs and the performance of TNs.The problem is reformulated into a mixed-integer linear programming problem and solved by off-the-shelf commercial solvers.Case studies are performed on two test networks.The effectiveness is verified by the numerical results,e.g.,reducing the load shedding amount without increasing the unmet traffic demand.

QoS-Aware Power Allocation Scheme for Relay Satellite Networks

This paper investigated a QoS-aware power allocation for relay satellite networks.For the given QoS requirements,we analyzed the signal model of relay transmission and formulated the power minimization problem which is non-convex and difficult to solve.To find the optimal solution to the considered problem,we first analyzed the optimization problem and equivalently turn it into a convex optimization problem.Then,we provided a Lagrangian dual-based method to obtain the closed-form of the power allocation and provided an iterative algorithm to the optimal solution.Moreover,we also extended the results to the cooperative transmission mode.Finally,simulation results were provided to verify the superiority of the proposed algorithm.

A Data Driven Security Correction Method for Power Systems with UPFC

The access of unified power flow controllers(UPFC)has changed the structure and operation mode of power grids all across the world,and it has brought severe challenges to the traditional real-time calculation of security correction based on traditionalmodels.Considering the limitation of computational efficiency regarding complex,physical models,a data-driven power system security correction method with UPFC is,in this paper,proposed.Based on the complex mapping relationship between the operation state data and the security correction strategy,a two-stage deep neural network(DNN)learning framework is proposed,which divides the offline training task of security correction into two stages:in the first stage,the stacked auto-encoder(SAE)classification model is established,and the node correction state(0/1)output based on the fault information;in the second stage,the DNN learningmodel is established,and the correction amount of each action node is obtained based on the action nodes output in the previous stage.In this paper,the UPFC demonstration project of NanjingWest Ring Network is taken as a case study to validate the proposed method.The results show that the proposed method can fully meet the real-time security correction time requirements of power grids,and avoid the inherent defects of the traditional model method without an iterative solution and can also provide reasonable security correction strategies for N-1 and N-2 faults.

一种可实现双向故障闭锁的双极Y型模块化多电平直流变换器

直流电网互联通常采用隔离型高压大功率直流变换器,但其存在体积大、成本高及传输效率较低等问题。该文提出一种双极Y型模块化多电平DC/DC变换器,其避免使用中间变压器,实现直流功率双向传输,并且可以有效闭锁双向直流故障。首先分析了变换器拓扑结构及故障闭锁工作原理,并根据桥臂内电势等效原理建立了数学模型。基于变换器臂间、相间能量平衡约束,在闭环控制的基础上引入桥臂电流补偿控制,提升变换器暂态性能。最后,在Matlab/Simulink搭建了采用模块化多电平DC/DC变换器(modularmultilevelDC/DCconverter,DC-MMC)的直流输电系统仿真模型,通过对端口电流、桥臂电流及桥臂电容电压等动态指标的分析,验证了所提DC-MMC双向功率传输控制及双向故障闭锁能力的可行性和有效性。

基于多端口网络理论的多负载WPT系统效率最大化研究

针对多负载无线电能传输系统效率的最大化问题,采用多端口网络理论分析并将系统效率最大化下的最优负载值问题转为求解广义特征值问题。首先,搭建单输入多输出多负载无线电能传输系统模型,结合端口网络理论和广义瑞利商深入研究系统最佳负载和最大效率之间的关系。在系统参数确定的前提下,通过对系统负载值进行设计,可以实现系统达到最高效率运行的状态,并应用对偶原理将理论成果推广至多负载电容式无线电能传输系统中;其次,采用遗传算法对多负载无线电能传输系统效率进行寻优,确定最佳负载值的正确性和可行性;最后,搭建了基于S-S拓扑的电感式无线电能传输系统实验平台,将单输入两输出、单输入三输出、单输入两不同、单输入三不同输出负载系统作为样本,仿真和实验数据对比验证了所提方法的正确性及最佳负载的可行性。

超密集网络中基于多基站博弈均衡的分布式无线资源管理算法

移动边缘计算和超密集网络技术在扩大移动设备计算能力和增加网络容量方面有明显的优势.然而,在两者融合的场景下,如何有效降低基站之间的同信道干扰,减少任务传输的时延和能耗是一个重要研究课题.本文设计了一个基于多基站博弈均衡的分布式无线资源管理算法.将小基站之间的无线资源管理问题转化为博弈问题,提出一种基于奖励驱动的策略选择算法.基站通过迭代不断更新其策略的选择概率,最终优化子信道分配和发射功率的调控.仿真结果表明,我们的算法在提高信道利用率和降低任务处理的时延和能耗方面具有优势.

极端气象条件下基于深度学习网络特征的变压器故障预测

根据极端气象条件下变压器产生故障时的环境参数,结合变压器故障预测中常用的油中溶解气体的含量,提出一种基于深度学习网络的故障预测方法。针对已有的变压器故障诊断方法泛化能力弱、时效性低、精度低等缺点,引入极端气象参数,并通过对多组数据序列进行时因分析,提取数据随着时间的变化关系;其次,设计一种新型的神经网络,将油气参数与极端气象参数的时间特征融合,并通过深度学习网络进行故障分类与预测。仿真实验结果表明,相比于其他传统故障预测方法,所提出的极端气象条件下基于深度学习网络的变压器故障预测方法准确率有显著提高。

基于区块链数据安全机制的输变电工程建设动态计算技术研究

针对现今输变电工程施工过程中不确定性因素较多、造价计算偏向静态等问题,文章建立了基于区块链数据安全机制的输变电工程造价实时动态计算模型,实现了造价实时动态计算技术与计算结果的精准高效。文章以区块链可信数据交换技术为底层模型,利用区块链去中心化信任体系、链上数据不可篡改等特性,构建输变电工程的数据上传、交互、储存与计算的架构体系;使用粒子群算法优化径向基神经网络参数,构造输变电工程造价数据预测计算模型;采用杰卡德距离对计算结果进行校正,且在反馈误差的同时进一步优化计算模型。利用仿真算例验证了模型的先进性与可行性。

基于动态平衡布局的输电网潮流图自动生成方法

为解决输电网潮流图自动生成中厂站布局与线路布线问题,提出基于动态平衡布局的输电网潮流图自动生成方法。针对厂站布局,首先,在力导向算法的基础上引入基于图纸中心点的惩罚函数,以解决力导向算法布局不均匀的问题,提高布局的均布度;然后,利用厂站分布率参数控制算法平衡次数,引导厂站向图纸边界运动,解决布局自动适应给定图幅大小的问题;最后,通过位置映射变换将围绕图纸中心点的椭圆分布转换为矩形分布,解决引入惩罚函数布局均匀但不符合传统输电网潮流图绘制习惯的问题。针对线路布线提出以构建通道树为中心的布线方法,有效降低布线交点个数,提升布线效果。所提布局与布线算法在实际工程应用中取得了良好的效果,通过案例验证了输电网潮流图自动生成的正确性和有效性。

双线圈并联ICPT系统的分布式补偿电流均衡方法

针对双线圈并联的高功率感应耦合电能传输(ICPT)系统存在线圈间补偿电流不均衡问题,提出一种分布式补偿电流均衡方法。首先提出了双线圈并联ICPT系统的分布式补偿网络,然后依据等效思想和迭代思想提出补偿电流均衡方法,根据该方法求解得到补偿参数和各线圈补偿电流表达式,再将该方法拓展到n线圈并联结构。在北京超算云计算中心的COMSOL云平台验证了所提出的方法不仅有效均衡了各线圈的补偿电流,而且谐振状态受参数漂移的影响程度并未因补偿网络的复杂程度增加而增加。最后搭建了实验平台,验证了所提方法的有效性。

柔性互联输配一体化电网有损潮流的精细化建模及应用

多端柔性互联输配一体化电网内部的运行方式复杂、网损特性差异显著,导致传统一刀切的网损补偿方法难以准确刻画网损的实际情况,影响了输(配)电交直流有损潮流模型的应用潜力和输配边界潮流的一致性。为此,该文提出一种基于双层定点迭代的精细化有损潮流模型。针对网损补偿方法不准确的问题,综合考虑网络类型、数据属性和物理特征等因素,为输、配电网及交、直流电网的精准有损潮流分析建立了差异化的网损补偿模型。针对输配边界潮流的不一致问题,将输配一体化有损潮流建模为一个双层定点迭代问题,并采用主从分裂法实现协同求解。在多个算例中分析了不同有损潮流模型的性能差异及其原因,讨论了所提模型在求解精度、收敛速度和计算效率等方面的优势,验证了所提模型在不同控制方式和优化目标下的鲁棒性和通用性。

基于卷积神经网络的暂稳极限功率计算

目前求取联络线暂态稳定传输功率极限的时域仿真法和基于李雅普诺夫稳定性理论的直接法计算过程复杂,针对此问题,提出基于卷积神经网络的输电断面暂态稳定极限功率计算方法。首先将系统运行的数据与实验仿真数据相结合,转化为输电断面特征属性,选择输电断面关键特征,将其作为神经网络的输入层向量,然后经过多次训练构建出系统关键特征与输电断面暂态稳定极限功率的非线性映射关系。最后以IEEE14节点进行算例分析,验证了计算方法的可靠性以及有效性。

具有可变增益恒压特性的双线圈无线电能传输系统补偿网络设计与分析

为了实现具有恒压特性的双线圈无线电能传输(WPT)系统中补偿网络的优化设计,该文在变压器T网络模型基础上定义等效耦合系数kr与等效变比n1,为双线圈WPT系统的高阶补偿网络设计与分析提供一种新方法。首先建立变压器T网络等效模型,给出具有恒压特性的串联-串联(S-S)型双线圈WPT系统元件参数表达式。其次结合等效耦合系数与等效变比,提出具有可变增益恒压特性的串联/并联-串联(SP-S)型与串联/并联-串联/并联(SP-PS)型双线圈WPT系统的补偿网络参数确定的新方法。在此基础上,考虑寄生电阻对系统传输特性的直接影响,以WPT系统的电压增益稳定性与传输效率为指标,得出不同等效参数下传输特性表达式,推导出在线圈偏移情况下最佳等效参数kr与n1的表达式,为WPT系统的补偿网络的优化设计提供理论依据。最终通过实物实验验证所提系统的恒压输出特性及其参数设计方法的正确性和有效性。

基于AI芯片的输电通道外破隐患边缘智能监测装置研制及应用

塔吊、挖掘机等外破隐患导致输电通道事故频繁发生,有效地检测输电通道周围的外破隐患对保障输电线路安全稳定的运行意义重大。该文以边缘智能芯片为基础,研制了一种输电通道外破隐患边缘智能检测装置,并提出了一种适用于计算资源有限前端装置的轻量化外破隐患识别方法。利用深度残差网络对输电通道图像进行视觉特征提取;利用候选区域生产网络RPN捕获外破隐患目标的候选区域,再用全卷积神经网络FCN进行外破隐患的目标分类与定位。以实际采集的输电通道图像构建成样本集,进行模型测试与验证,结果表明所提方法在边缘装置中表现出良好的适用性。

含跨省区输电价格及网损率的区域电力现货市场出清模型

为了解决区域电力现货市场协调跨省区送受电优先计划和跨省区中长期交易体系等难题,使区域电力现货市场出清结果可真实反映事先核定的跨省区输电价格和网损率,提出了一种含跨省区输电网损偏差修正的区域电力现货市场出清模型。首先,以中国南方区域电力市场为例,分析了跨省区送受电交易主体和交易体系。其次,提出了一种同时考虑交易成分和物理潮流的网损偏差修正方法,并基于该方法构造了跨省区送受电物理潮流与交易成分相耦合的区域电力现货市场出清模型。最后,采用9节点系统和中国南方电网模拟系统开展仿真验证。仿真结果表明,采用所提的网损偏差修正方法和区域电力现货市场出清模型,可确保在满足系统安全运行约束的前提下,将跨省区输电价格和网损率反映在现货市场出清电价中,有效协调了跨省区送受电优先计划和跨省区中长期交易体系。