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An Optimal Competitive Bidding and Pricing Strategy for Electric Vehicle Aggregator Considering the Bounded Rationality of Users

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IEEE Transactions on Industry Applications 2025年

作者： Wang, Qi Huang, Chunyi Wang, Chengmin Xie, Ning Li, Kangping Qiu, Peng Shanghai Jiao Tong University School of Electronic Information and Electrical Engineering Shanghai200240 China Northeast Electric Power University Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Jilin132012 China Shanghai Jiao Tong University College of Smart Energy Shanghai200240 China State Grid Zhejiang Electric Power Company Electric Power Research Institute Hangzhou310014 China

Accurate estimation of the charging demand of electric vehicle (EV) users has a profound impact on the profitability of the EV aggregator (EVA). Existing studies concerning the market strategy of EVA normally assume the EV users are equipped with complete rationality and simplify the real interactive process among EVAs and EV users, making the derived strategy unable to adapt to the practical situations. To address this bottleneck, a novel competitive bidding and pricing strategy for EVA considering both the bounded rationality of EV users and various game relationships between multiple agents is proposed. Firstly, the evolutionary game theory is utilized to simulate the bounded rational charging behaviors of EV users under differentiated charging prices, while their demand elasticity and uncertainty of driving pattern is also taken into account. Secondly, the complex interactions among EVAs and EV users are modeled, where the competition between EVAs is constructed by a non-cooperative game with incomplete information and the interplay between EVAs and EV users is built as a Stackelberg game. Finally, numerical results validate the effectiveness of the proposed method and demonstrate the pricing strategy preferences of EVAs based on the diverse price elastic coefficients of EV users. © 2025 IEEE. All rights reserved

关键词： Game theory

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Ferroelectric Chirality-Driven Direction-Tunable and Spin-Invertible Corner States in 2D MOF-Based Magnetic Second-Order Topological Insulators

arXiv

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arXiv 2025年

作者： Gong, Jialin Sun, Wei Wu, Yang Guo, Zhenzhou Qian, Shifeng Wang, Xiaotian Zhang, Gang Institute for Superconducting and Electronic Materials Faculty of Engineering and Information Sciences University of Wollongong WollongongNSW2500 Australia Shandong Provincial Key Laboratory of Preparation and Measurement of Building Materials University of Jinan Jinan250022 China Bremen Center for Computational Materials Science University of Bremen Bremen28359 Germany Anhui Province Key Laboratory for Control and Applications of Optoelectronic Information Materials Department of Physics Anhui Normal University Anhui Wuhu241000 China Yangtze Delta Region Academy of Beijing Institute of Technology Jiaxing314000 China

Despite the rapid progress in predicting 2D magnetic second-order topological insulators (SOTIs), effective strategies for manipulating their spin-polarized corner states remain largely unexplored. The interplay between ferroelectricity, chirality, magnetism, and topology presents an untapped opportunity for controlling these corner states. Here, we propose a novel approach for tuning spin-polarized corner states in 2D magnetic SOTIs by inducing ferroelectric chirality in 2D metal-organic frameworks (MOFs) with intrinsic structural flexibility. Through symmetry analysis, we strategically replace pyrazine (pyz) ligands with 2-pyrazinolate (2-pyzol) ligands in the 2D MOF Cr(pyz)2, leading to the emergence of a new 2D magnetic SOTI, Cr(2pyzol)2, which facilitates ferroelectric chirality controlled spin-polarized corner states in both spin channels. Through first-principle calculations, we demonstrate that Cr(2-pyzol)2 belongs to ferroelectric chiral systems, and its corner states can be directionally tuned in real space and spin-inverted in spin space upon ferroelectric chirality switching. Our work represents the first attempt to simultaneously manipulate corner states in both real space and spin space, offering a new strategy for integrating ferroelectric chirality into 2D MOF-based magnetic SOTIs. © 2025, CC BY.

关键词： Topology

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Remote monitoring and control of photovoltaic system using wireless sensor network

Remote monitoring and control of photovoltaic system using w...

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International Conference on Electric Information and control Engineering

作者： Xu, Xiaoli Qiao, Daoe Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing China

ISBN: (纸本)9781424480395

Efficient energy yield is a major concern in photovoltaic systems in solar energy supply. Smart photovoltaic modules offer a potential solution to allow solar generators to maximize their productivity. This paper describes details of the design and instrumentation of smart photovoltaic modules, a wireless sensor network, and software for real-time sensing and control of a photovoltaic system with maximum power point tracking at module level. Field condition is monitored by voltage, current, irradiance, and temperature sensors distributed across the photovoltaic field. The sensory data are periodically sampled and transmitted to a base station. The power point is controlled by a integrated DC-DC converter. The output voltage in the converter is regulated by a digital controller. The reference voltage is calculated based on a neural network model, which is used to identify maximum power point. The communication data for remote monitoring and distributed control are successfully transmitted using a low-cost ZigBee wireless network. The web-based software developed in this paper offers stable remote access to field conditions and real-time control of the power points in the smart photovoltaic system. © 2011 IEEE.

关键词： Solar energy

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Edge Computing Based Two-Stage Emergency Braking in Autonomous Driving 6th

Edge Computing Based Two-Stage Emergency Braking in Autonomo...

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6th EAI International Conference on IoT as a Service, IoTaaS 2020

作者： Li, Lian Xu, Zhan Chen, Jinhui Zhi, Ruxin Huang, Mingzhe Beijing Information Science and Technology University Beijing China Key Laboratory of Modern Measurement and Control Technology Beijing China

ISBN: (纸本)9783030675134

Emergency braking is a key technology in autonomous driving to prevent collision accidents. In this paper, we propose an edge computing based two-stage emergency braking method (TSEB), which can bring passengers more comfortable experience with emergency braking while avoiding collision. In TSEB, the initial deceleration rate is figured out at the first time point, in terms of motion parameters of the moving vehicle and the moving or static obstacle, and used to set the braking force for the first-stage braking, which can at least avoid serious collision. The second deceleration rate is figured out in terms of the parameters at the second time point and implemented on the vehicle by increasing the braking force in the second-stage braking. With the second-stage braking, the vehicle can stop at a safer distance to the obstacle while the passengers do not feel too much deceleration. The performance of TSEB is evaluated on the simulation platform composed of Prescan, Simulink and Matlab. TIS sensors of long distance and short distance are used to detect the distance between the vehicle and the obstacle. © 2021, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Edge computing

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Finite-element analysis of piezoelectric disc stack acoustic transducer

Finite-element analysis of piezoelectric disc stack acoustic...

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2010 International Conference on Computer Application and System Modeling, ICCASM 2010

作者： Tang, Huiyan Wang, Likun Qin, Lei Key Laboratory of Modern Measurement and Control Technology Beijing Information Science and Technology University Ministry of Education Beijing China

ISBN: (纸本)9781424472369

Piezoelectric Disc Stack Acoustic Transducer was mainly made of piezoelectric ceramic discs, which were bonded together concentrically with epoxy resin. Because of piezoelectric effect and the anisotropy characteristics of piezoelectric ceramic, when electronic signals were put on the power-lead electrodes in the thickness direction, the radial vibration generated and could be measured. In this article, the vibration model of the disc stack transducer was analyzed with the method of finite-element method. Transducer models were established with ANSYS 10.0 both in air and in water. The relationship between the transducer work frequency and its structure dimension was acquired. According to the radial vibration features and the finite element method simulation results, the structure of the acoustic transducer was optimized. Besides that, a series of experiments including impedance analysis and laser scanning vibration on the transducer sample was carried out to verify the simulation results. All the results conformed well. © 2010 IEEE.

关键词： Finite element method

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Bit-Level Composite Signal Design for Simultaneous Ranging and Communication

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China Communications 2021年第6期18卷 214-227页

作者： Weigang Chen Yalong He Changcai Han Jinsheng Yang Zhan Xu School of Microelectronics Tianjin UniversityTianjin 300072China Key Laboratory of Modern Measurement and Control Technology Beijing 100192China School of Information and Communication Engineering Beijing Information Science and Technology UniversityBeijing 100192China

As the complexity of space exploration missions augments,how to enhance the overall performance of communication,ranging or other functions has become a challengeable *** the integration of communication and ranging,we present a bit-level composite signal for simultaneous ranging and *** this composite method,through a specially designed mapping scheme using low-weight codewords,the information sequence is converted to a sparse sequence which is then superimposed on the ranging *** ranging,the correlation characteristics of the ranging code component can be maintained to calculate the transmitter-receiver *** communications,the sparse sequence can be extracted without interference by eliminating the ranging code *** results show that the proposed composite signal can support communication and ranging simultaneously with limited sacrifice of ranging performance,and the performance loss of ranging can be controlled and minimized by lowering the density of information sequences using different sparsification encoding methods.

关键词： composite signal spectrum sharing lowweight codeword regenerative PN ranging code

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STUDY OF THE SENSITIVITY MECHANISM OF A FLEXIBLE TEMPERATURE SENSOR 10

STUDY OF THE SENSITIVITY MECHANISM OF A FLEXIBLE TEMPERATURE...

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10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： Sun, Jiahao Piao, Linhua Zhang, Yonghao Beijing Key Laboratory of Sensors Beijing China Modern Measurement and Control Technology Ministry of Education Beijing China

ISBN: (纸本)9781837242672

In this paper, a structure of a flexible temperature sensor is proposed. And its sensitivity mechanism is investigated. A physical model is established based on the proposed structure. A mathematical model is established based on the actual situation. A 3D model of the structure is created by COMSOL software. In which the mathematical model is studied for this sensor. The temperature field within this sensitive structure was calculated using the finite element method. The corresponding material properties in the sensor structure were set. Setting up the physical fields required for operation. Mesh this 3D structure. Setting the external ambient temperature. Setup of the type of study according to the actual situation. The sensor detects the ambient temperature. Calculations are made based on the results of the finite element method, combined with the corresponding theoretical formulas. It is calculated that the temperature coefficient of resistance is 0.0316/° C in the temperature range of -18~80 °C, and the nonlinearity is 1.36%. There results conclude that the relationship between temperature and resistance is proportional. This lays a theoretical foundation for the optimisation of subsequent structural studies of flexible temperature sensors. It facilitates further performance enhancement in subsequent research. This promotes the research progress in related fields. © The Institution of Engineering & technology 2024.

关键词： Velocity measurement

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Traffic Sign Recognition Method Based on Dual-Channel CNN 15

Traffic Sign Recognition Method Based on Dual-Channel CNN

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15th IEEE International Conference on Electronic measurement and Instruments, ICEMI 2021

作者： Zhao, Zeyi Zhou, Fuqiang Wang, Shaohong Xu, Xiaoli Chao, Fenjin Lin, Zhoupeng Beijing Information ScienceTechnology University Ministry of Education Key Laboratory of Modern Measurement Control Technology Beijing China

ISBN: (纸本)9781665444910

Aiming at traffic sign problem, the traditional LeNet-5 network structure has low accuracy of traffic sign recognition, slow identification speed and ignores natural factors such as weather. A convolutional network structure model with two-channel and multi-scale based on LeNet-5 improvement is proposed by convolutional neural network technology. In the dual-channel structure, each channel contains two branching structure, and the number of convolution and image scale of each channel is different, making the feature extraction of different image scales richer. Secondly, the improved network structure greatly increases the number of convolutional kernels compared to the traditional LeNet-5 network structure. Finally, by changing the Sigmoid activation function to the ReLu activation function, changing the stochastic gradient descent algorithm to the Adam algorithm, and adding Dropout layers to prevent overfitting and setting the learning rate, thus increasing the traffic sign recognition rate. The recognition rate of the improved network is 98.6%, floating by 0.5%, relative to the traditional LeNet-5 network structure, the recognition rate increases by more than 15%, verifying that the improved network structure has a certain robustness. © 2021 IEEE.

关键词： Convolution

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Fault Diagnosis Method of Wind Turbine Gearbox Based on Deep Belief Network and Vibration Signal 57

Fault Diagnosis Method of Wind Turbine Gearbox Based on Deep...

引用

57th Annual Conference of the Society of Instrument and control Engineers of Japan, SICE 2018

作者： Xiuli, Liu Xueying, Zhang Liyong, Wang Beijing Information Science and Technology University Key Laboratory of Modern Measurement Control Technology of Ministry of Education Beijing100192 China

ISBN: (纸本)9784907764609

With the development of wind power, the fault of wind turbine is increasing year by year. The gearbox is the fault multiple component of the wind turbine. The monitoring system gets massive data, and the health monitoring of the fan has also entered the era of 'big data'. The new problem in the field of health monitoring of mechanical equipment is to excavate information from these large data and to identify the health status of equipment efficiently and accurately. Deep learning is an effective tool for large data processing. Based on the strong perception and self-learning ability of deep learning theory, a fault diagnosis method of wind turbine gearbox based on deep belief network and vibration signal is proposed in this paper. The original fault sample vibration signal is input to the deep belief network to get the deep learning sample model. At the same time, Batch Normalization is added to reduce the overfitting probability and improve the convergence speed of the network. Then the trained deep neural network model is applied to the fault diagnosis of the planetary gear box of the wind turbine gearbox, and the results show that the method is more accurate than the DBN, the BPNN algorithm and the traditional fault diagnosis method. © 2018 The Society of Instrument and control Enginners - SICE.

关键词： Wind turbines

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Application of Noise Reduction Method Based on Birgé-Massart Threshold

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仪器仪表学报 2013年第S1期34卷 134-137页

作者： Xu Xiaoli Jiang Zhanglei Zuo Yunbo Wu Guoxin School of Mechanical and Vehicle Engineering Beijing Institute of Technology Key Laboratory of Modern Measurement & Control Technology Ministry of Education Beijing Information Science and Technology University

Flue gas generator set is a kind of large high-speed rotating machinery in petrochemical *** research focuses on noise reduction algorithms basis ontheBirgé-*** the threshold through Penalization Strategy Provided by Birgé-Massart;constructed different modulus maximum vertex neighborhood on different wavelet transform decomposition scales to influence the search process of modulus maximum point;obtained the appropriate modulus maximum points sequence on various wavelet decomposition scales;highlighted state feature information;finally usedMallat staggered projection to reconstruct *** order to validate the effectiveness of the algorithm,it was compared with four kinds of threshold noise suppression methods namely Rigrsure,Sqtwolog,Heursure,*** results show that this algorithm has a better signal to noise ratio and mean-square error.

关键词： feature extraction modulus maximum punishment strategies

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