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Cloud-edge-based We-Market:Autonomous Bidding and Peer-to-peer Energy Sharing Among Prosumers

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Journal of Modern Power Systems and Clean Energy 2023年第4期11卷 1282-1293页

作者： Fangyuan Si Yinghua Han Qinqin Xu jinkuan wang Qiang Zhao College of Information Science and Engineering Northeastern UniversityShenyangChinaand F.Si is also with the State Key Laboratory of Power System and Generation EquipmentDepartment of Electrical EngineeringTsinghua UniversityBeijingChina School of Computer and Communication Engineering Northeastern University at QinhuangdaoQinhuangdaoChina School of Control Engineering Northeastern University at QinhuangdaoQinhuangdaoChina

With the extensive penetration of distributed renewable energy and self-interested prosumers,the emerging power market tends to enable user autonomy by bottom-up control and distributed *** paper is devoted to solving the specific problems of distributed energy management and autonomous bidding and peer-to-peer(P2P)energy sharing among prosumers.A novel cloud-edge-based We-Market is presented,where the prosumers,as edge nodes with independent control,balance the electricity cost and thermal comfort by formulating a dynamic household energy management system(HEMS).Meanwhile,the autonomous bidding is initiated by prosumers via the modified Stone-Geary utility *** the cloud center,a distributed convergence bidding(CB)algorithm based on consistency criterion is developed,which promotes faster and fairer bidding through the interactive iteration with the edge ***,the proposed scheme is built on top of the commercial cloud platform with sufficiently secure and scalable computing *** results show the effectiveness and practicability of the proposed We-Market,which achieves 15%cost reduction with shorter running *** analysis indicates better scalability,which is more suitable for largerscale We-Market implementation.

关键词： We-Market bidding energy sharing prosumer peer-to-peer cloud-edge

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Sensor Scheduling Target Tracking-oriented with Wireless Sensor Network

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Sensor Scheduling Target Tracking-oriented with Wireless Sen...

Robust adaptive beamforming algorithm based on Bayesian approach

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作者： YAN Dongmei wang jinkuan Engineer Optimization & Smart Antenna Institute Northeastern University at Qinhuangdao School of Information Science and Engineering Northeastern University

ISBN: (纸本)9781467355339

Power conservation is a challenging accomplishment for wireless sensor network because each sensor node’s power recourses are limited. How to extend the lifetime of the network should be carefully considered in designing wireless sensor network. Sensor Scheduling is an effective method to allocate tasks among sensor nodes. Sensor Scheduling algorithm for target tracking is proposed in this paper. Clustering and is executed to schedule sensor node to track target. During Target tracking, only one cluster is allowed to be active, while the others are in sleep state for saving sensor nodes’ power. Cluster formulation is optimized by Particle Swarm Optimization.

关键词： Sensor Scheduling Target Tracking Dynamic cluster

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Frontiers of Electrical and Electronic Engineering in China 2008年第4期3卷 435-439页

作者： Xin SONG jinkuan wang Yinghua HAN Han wang School of Information Science and Engineering Northeastern UniversityShenyang 110004China

The performance of adaptive array beamform-ing algorithms substantially degrades in practice because of a slight mismatch between actual and presumed array res-ponses to the desired signal.A novel robust adaptive beam-forming algorithm based on Bayesian approach is therefore *** algorithm responds to the current envi-ronment by estimating the direction of arrival(DOA)of the actual signal from *** com-plexity of the proposed algorithm can thus be reduced com-pared with other algorithms since the recursive method is used to obtain inverse *** addition,it has strong robustness to the uncertainty of actual signal DOA and makes the mean output array signal-to-interference-plus-noise ratio(SINR)consistently approach the *** results show that the proposed algorithm is bet-ter in performance than conventional adaptive beamform-ing algorithms.

关键词： robust adaptive beamforming signal-to-interference-plus-noise ratio(SINR) Bayesian approach signal steering vector mismatch

Unitary cyclic ESPRIT-like direction finding

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Science China(Information Sciences) 2010年第10期53卷 2087-2096页

作者： LIU ZhiGang & wang jinkuan Department of Electronic Information, Northeastern University, Qinhuangdao 066004, China 1. Department of Electronic Information Northeastern University Qinhuangdao 066004 China

A unitary formulation of cyclic ESPRIT algorithm, with uniform linear array (ULA) configuration, is proposed by constructing the forward backward cyclic autocorrelation matrix by Hermitian mapping. This approach not only substantially reduces the computational complexity via real-valued decomposition, but also outperforms the forward backward spatial smoothing algorithm for uncorrelated or correlated sources. In addition, this method allows to select desired signals and to ignore interferences because of its signal-selective property. The performance analysis shows that for uncorrelated or correlated sources, the Hermitian mapping approach has a lower RMSE and a higher output SNR than the FBSS method. Finally, simulation results show the effectiveness of the proposed methods.

关键词： array signal processing cyclostationary signals direction of arrival cyclic ESPRIT unitary ESPRIT

Flatness Generalized Prediction Control Based on Wavelet Denoising

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Flatness Generalized Prediction Control Based on Wavelet Den...

Designing,Analysis and Implementation of Open-source Visualization System for High-Definition Remote Sensing Data Processing 32

第25届中国控制与决策会议

作者： Zhao Qiang wang jinkuan Han Yinghua Li Chengtie College of information science and engneering Northeastern university Engineering Optimization & Smart Antenna Institute Northeastern University at Qinhuangdao

ISBN: (纸本)9781467355339

The delay of flatness measurement signal exists in low-speed cold rolling process, which influences the performance of closed loop control system. In this paper, the flatness generalized predictive control algorithm is proposed. The nonlinear wavelet denoising method is used to filter the noise of the measure data availably. Then the filtered data are applied to recognize the flatness through the model based on multiple linear regression The prediction model of symmetrical and asymmetrical coefficients can be obtained. And then receding horizon optimization and online identification are developed to obtain control sequence. The simulation results exhibit the effectiveness of our method.

关键词： wavelet transform denoise multiple linear regression flatness coefficients receding horizon optimization

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Designing,Analysis and Implementation of Open-source Visuali...

Sensor Scheduling Algorithm Target Tracking-Oriented

第32届中国控制与决策会议

作者： HAN Peng LI Yan wang Ying LI Linqi MA Haotian wang jinkuan School of Computer and Communication Engineering Northeastern University at Qinhuangdao School of Control Engineering Northeastern University at Qinhuangdao

ISBN: (数字)9781728158556

ISBN: (纸本)9781728158563

The big data characteristics of Marine High-Definition Remote Sensing（MHDRS） has result in the obstacle of the real-time processing,effective decision-making and low efficiency information *** at this problem,this paper analyzes the visualization and control integrate system,and establishes a visually analytic system to process the different source of Remote Sensing（RS） data as well as its storage based on the MHDRS *** result shows that the new method enhances the analysis and sharing with high efficiency.

关键词： RS Images Geographic Information System Data visualization Open Source System B/S structure

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Wireless Sensor Network 2011年第8期3卷 295-299页

作者： Dongmei Yan jinkuan wang School of Information Science and EngineeringNortheastern University

Target tracking is a challenging problem for wireless sensor networks because sensor nodes carry limited power recourses. Thus, scheduling of sensor nodes must focus on power conservation. It is possible to extend the lifetime of a network by dynamic clustering and duty cycling. Sensor Scheduling Algorithm Target Tracking-oriented is proposed in this paper. When the target occurs in the sensing filed, cluster and duty cycling algorithm is executed to scheduling sensor node to perform taking task. With the target moving, only one cluster is active, the other is in sleep state, which is efficient for conserving sensor nodes’ limited power. Using dynamic cluster and duty cycling technology can allocate efficiently sensor nodes’ limited energy and perform tasks coordinately.

关键词： Wireless Sensor Network Sensor Scheduling Target Tracking Collaborative Signal Processing Dynamic Clustering

Q-Learning-Based Adaptive Waveform Selection in Cognitive Radar

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International Journal of Communications, Network and System Sciences 2009年第7期2卷 669-674页

作者： Bin wang jinkuan wang Xin SONG Fulai LIU Northeastern University

Cognitive radar is a new framework of radar system proposed by Simon Haykin recently. Adaptive waveform selection is an important problem of intelligent transmitter in cognitive radar. In this paper, the problem of adaptive waveform selection is modeled as stochastic dynamic programming model. Then Q-learning is used to solve it. Q-learning can solve the problems that we do not know the explicit knowledge of state-transition probabilities. The simulation results demonstrate that this method approaches the optimal wave-form selection scheme and has lower uncertainty of state estimation compared to fixed waveform. Finally, the whole paper is summarized.

关键词： Waveform Selection Q-Learning Space Division Cognitive Radar

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RCC 方式输出变压器漏磁分布及其影响

东北大学学报（自然科学版） 1998年第4期19卷 358-361页

作者：汪晋宽东北大学信息科学与工程学院

阐述了ＲＣＣ方式输出变压器的结构特征．采用感应电压法测量了漏磁分布．分析了漏磁对输出电压稳定性的影响．结果表明，带有绝缘夹片的输出变压器的漏磁主要分布在主磁通的轴线方向上．输出滤波器的电感线圈应尽量避免配置在主磁通轴... 详细信息

阐述了ＲＣＣ方式输出变压器的结构特征．采用感应电压法测量了漏磁分布．分析了漏磁对输出电压稳定性的影响．结果表明，带有绝缘夹片的输出变压器的漏磁主要分布在主磁通的轴线方向上．输出滤波器的电感线圈应尽量避免配置在主磁通轴线方向附近．否则，由于漏磁的影响，将引起输出纹波电压的变化．

关键词：输出变压器绝缘夹片漏磁纹波电压 RCC方式

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