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Dynamical economic dispatch using distributed barrier function-based optimization algorithm

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Science China(Technological Sciences) 2019年第12期62卷 2104-2112页

作者： yao yiyang TIAN FangZheng MEI Feng FU JunJie DAI Bo YU WenWu State Grid Zhejiang Electric Power Corporation Information&Telecommunication Branch Hangzhou 310007China School of Mathematics Southeast UniversityNanjing 210096China

In this paper, we study the distributed economic dispatch problem where the supply demand balance, capacity constraints and ramp-rate constraints are considered. In order to accommodate varying power load and power storage in reality, we introduce two variables where each variable is time-varing and has its own dynamics. The renewable power is also considered. Barrier functions are introduced to deal with the local constraints by means of imposing penalty terms into the objective function to ensure that the optimal solution satisfies the corresponding constraints. Based on the Langrange dual theory, the primal optimization problem is transformed into the dual problem, which is solved by the primary-dual algorithm proposed in this paper. Under the assumption that the communication graph is an undirected and connected graph, we analyze the convergence of the proposed algorithm. The simulations on IEEE six-bus test systems are carried out to verify the performance of the algorithm, which shows that the proposed algorithm converges to the optimal solution, while all the constraints are met.

关键词： multi-agent systems distributed optimization barrier function Langrange function

Identifying source of an information in complex networks with limited observation nodes 36

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Identifying source of an information in complex networks wit...

A Moving Target Detection Algorithm Based on BING Objectness and Background Estimation 36

第36届中国控制会议

作者： Xindai Lu yiyang yao Yinzuo Zhou State Grid Zhejiang Electric Power Research Institute State Grid Zhejiang Electric Power Company Information & Telecommunication Branch Alibaba Research Center for Complexity Sciences Hangzhou Normal University

ISBN: (纸本)9781538629185

A rumor spreading in a social network or a disease propagating in a community can be described by a contact network whose nodes are persons or centers of contagion and links heterogeneous relations among them. Suppose that a rumor or a disease originating from a single source among a set of suspects spreads in a network, how to root out this rumor/disease source? This problem is important and challenging in different contexts of computer or social networks, which is made more difficult in many applications where we have access only to a limited set of observations. We study the problem of estimating the origin of a rumor/epidemic outbreak: given a contact network and a snapshot of epidemic spread at a certain time, determine the infection source. Assuming that the epidemic spread follows the usual susceptible-infected（SI） model, we introduce an inference algorithm based on sparsely placed observers. We present a strategy and show that it leads to significant improvement of performance compared to existing approaches. Our analysis sheds insight into the behavior of the rumor/epidemic spreading process not only in the local particular regime but also for the whole general regime.

关键词： Source Nodes Observation Nodes SI Model

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A Moving Target Detection Algorithm Based on BING Objectness...

Fast Algorithm for Moving Target Detection 36

第36届中国控制会议

作者： Caiyou Zhang Bo Dai Hongcheng Jiang Xiaojun Shen yiyang yao State Grid Zhejiang Electric Power Company Information ＆ Telecommunication Branch

ISBN: (纸本)9781538629185

This paper deals with an intelligent image processing method for the video surveillance *** propose a fast and robust algorithm for moving target detection which combines Binarized Normed Gradients（BING） Objectness and background estimation.A real-time surveillance system needs to detect moving objects robustly against noises and *** the proposed method uses a simple background estimation model with a sensitivity parameter to extract a set of rough moving foreground in *** also use objectness detection within the foreground set to estimate another set of candidate object *** the target（pedestrians/vehicles） region by the intersection of areas derives from the former two *** track moving objects fast,the proposed method predicts the velocity and the direction of the groups formed by moving ***,time cost is reduced by the decrease of estimation *** on the outdoor datasets show that the combined method can not only achieve a high detection ratio（DR） but also decrease false alarm ratio（FAR）,as well as time ***,the experiments show that the proposed method has the robustness against the environmental influences and the speed,which are suitable for the real-time surveillance system.

关键词： Video Surveillance BING Objectness Background Estimation Moving Target Detection

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Fast Algorithm for Moving Target Detection

Biomass materials for zinc-based sustainable and green energy storage devices:Strategy and mechanism

第36届中国控制会议

作者： Jian Chen Feng Mei Weijing Ye Hongkai Wang Xiaojun Shen yiyang yao State Grid Zhejiang Electric Power Company Information ＆ Telecommunication Branch

ISBN: (纸本)9781538629185

In this paper,a moving target detection algorithm which combines background estimation and BING（Binarized Normed Gradients） Objectness is proposed in video surveillance.A simple background estimation method is used to detect a set of rough moving foreground in image,objectness detection within the foreground set will estimate another set of candidate object windows,and the target（pedestrians/vehicles） region by the intersection of areas derives from the former two ***,time cost is reduced by the decrease of estimation *** on the outdoor datasets show that the combined method can not only achieve a high detection ratio（DR） but also decrease false alarm ratio（FAR）,as well as time cost.

关键词： Moving Target Detection Model Learning Video Surveillance

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Nano Research 2025年第1期18卷 294-314页

作者： Xiaotong Yang Xiaoxin Nie Chenke Tang yiyang Xiao Qiongguang Li Du Yuan Meng yao College of Materials Science and Engineering Changsha University of Science and TechnologyChangsha 410004China College of Materials Science and Engineering Sichuan UniversityChengdu 610065China Anhui Province International Research Center on Advanced Building Materials School of Materials and Chemical EngineeringAnhui Jianzhu UniversityHefei 230601China

As next-generation rechargeable alternatives,zincbased energy storage devices(ZESs)are being intensely explored due to their merits of abundant resource,low cost,safety and environmental ***,ZESs face a succession of critical challenges on pursuing advancing performance,including the stability and kinetics of cathode,stability and transport of zinc electrolyte,reversibility and deep utilization of metallic Zn ***,possessing unique molecular structures with abundant functionals groups,motivates the interdisciplinary field emerging from biomass and aqueous rechargeable *** its high compatibility with ZES design,we here summarize the application of biomass materials in ZESs from the aspects of cathode,electrolyte,membrane/separator and Zn anode,with their corresponding operational mechanisms and attractive functionalities from polymeric ***,the outlooks and perspectives are provided,regarding current challenges and future *** anticipate our minireview paves way on exploring the roles of biomass in aqueous rechargeable batteries.

关键词： zinc biomass materials skeleton/host coating solid-electrolyte interphase(SEI)

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群体动画行为自动控制的微粒群优化算法

现代电子技术 2020年第19期43卷 106-110页

作者：杨亮张颖姚奕洋邯郸学院河北邯郸056005

为提升群体动画行为的自主性以及智能性,研究群体动画行为自动控制的微粒群优化算法。用户输入群体动画行为构建目标后,依据固定行为规则规划个体路径,采用微粒群优化算法依据自上而下的控制过程为群体动画内个体选择最优动作。其中,微... 详细信息

为提升群体动画行为的自主性以及智能性,研究群体动画行为自动控制的微粒群优化算法。用户输入群体动画行为构建目标后,依据固定行为规则规划个体路径,采用微粒群优化算法依据自上而下的控制过程为群体动画内个体选择最优动作。其中,微粒群算法步骤如下:初始化微粒群算法参数、评价微粒初始适应值、更新微粒群内个体速度和位置、评价微粒适应值、判定历史最优位置以及适应值,适应值误差符合设定限制时输出全局最优搜索结果,并选取Eberhart方法依据外部环境变化优化微粒群算法,利用最优动作实现行为自动控制后通过3ds max软件渲染功能将最终结果输出。通过实例分析验证该算法可有效实现群体动画行为的自动控制,且收敛速度快,具有较高的自主性。

关键词：群体动画行为自动控制微粒群算法优化动作选择行为控制实例分析

基于锁相环与电流环解耦的并网变换器稳定性控制策略

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电力系统自动化 2024年第19期48卷 109-119页

作者：刘星琪邹志翔姚屹洋汤建王政陈武东南大学电气工程学院江苏省南京市210096

在弱电网中,并网变换器的锁相环会与电流环产生动态交互进而引发小信号(或谐波)失稳问题。为了解决这一问题,利用小信号建模方法建立了并网变换器等效阻抗模型,并在此基础上将变换器阻抗模型与系统稳定性判断方法相结合,利用极点变化轨... 详细信息

在弱电网中,并网变换器的锁相环会与电流环产生动态交互进而引发小信号(或谐波)失稳问题。为了解决这一问题,利用小信号建模方法建立了并网变换器等效阻抗模型,并在此基础上将变换器阻抗模型与系统稳定性判断方法相结合,利用极点变化轨迹以及Bode图分析了弱电网工况下并网变换器的失稳机理。针对多输入多输出系统,在考虑多环耦合的同时,提出了一种基于数字滤波器的有源阻尼控制策略,3种不同类型的滤波器分别被用于控制系统的稳定性,提高系统稳定裕度。所提出的控制方法能实现锁相环与电流环的之间的解耦,有效抑制多环耦合。同时,给出了控制策略具体的实现方案、参数设计方法,并分析了控制策略对多环耦合部分的影响。另外,为了研究不同工况下所提控制策略的有效性,分析了不同电网强度、锁相环带宽和电流环带宽下采用所提控制策略的系统稳定裕度,并将其与传统控制方法进行了对比。最后,仿真和硬件在环实验结果验证了所提理论的正确性。

关键词：跟网型变换器有源阻尼控制解耦控制锁相环电流环阻抗建模稳定性分析

基于Challenge策略的大规模恶意P2P僵尸节点检测技术

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计算机工程 2016年第10期42卷 158-163页

作者：李景姚一杨卢新岱乔勇国家电网浙江省电力公司电力科学研究院杭州310000 国家电网浙江省电力公司信息通信分公司杭州310000 国防科学技术大学计算机科学与技术学院长沙410073

传统僵尸网络检测技术主要考虑在主机上或者某一个网关出口的边界处检测特点区域网内的僵尸节点,规模较小,检测效率较低。为了在更大范围内进行有效的对等网络（P2P）僵尸节点检测,提出基于Challenge的探测P2P网络中所寄生的恶意僵尸节... 详细信息

传统僵尸网络检测技术主要考虑在主机上或者某一个网关出口的边界处检测特点区域网内的僵尸节点,规模较小,检测效率较低。为了在更大范围内进行有效的对等网络（P2P）僵尸节点检测,提出基于Challenge的探测P2P网络中所寄生的恶意僵尸节点的策略。仿真实验结果表明,在超过400万个节点的KAD网络中,该检测技术可以检测到3 000个-9 000个寄生型P2P僵尸节点,能够估算KAD网络中可能存在的寄生型僵尸节点数目,对后续防御对象的精准定位和防御措施的准确设计具有参考作用。

关键词： Challenge策略僵尸网络对等网络爬虫分布式哈希表恶意节点

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红外热像仪高精度测温标定技术

红外与激光工程 2021年第10期50卷 194-201页

作者：蔡李靖周凯来沈桂竹姚一杨邱兰馨字崇德曹汛南京大学电子科学与工程学院江苏南京210123 国网浙江省电力有限公司信息通信分公司浙江杭州310020

红外热像仪能够监测目标温度从而起到事故预警与位置确认、大规模人体表面温度筛查等作用。由于环境温度变化与红外辐射吸收产生的温度漂移现象,目前大部分测温红外热像仪需要采用黑体进行实时校正,但是基于黑体的红外热像仪架设场景固... 详细信息

红外热像仪能够监测目标温度从而起到事故预警与位置确认、大规模人体表面温度筛查等作用。由于环境温度变化与红外辐射吸收产生的温度漂移现象,目前大部分测温红外热像仪需要采用黑体进行实时校正,但是基于黑体的红外热像仪架设场景固定,便携性差。针对以上问题提出了一种无黑体式红外热像仪测温标定和温度补偿技术,通过对红外测温原理进行推导,采用多黑体标定获得目标温度与辐射量的先验关系,针对探测器内部结构引起温度漂移,由牛顿冷却定律进行非线性建模实现实时温度补偿。通过实验验证,所提出的测温标定技术可将测温平均相对误差长时稳定保持在0.9%以内,相比于标定前平均相对误差有效降低64%,从而实现小型化红外热像仪便携、实时、稳定高精度测温。

关键词：红外热像仪测温标定温度补偿长时稳定