bluuebunny/crossref_metadata_2025_split huggingface dataset:
A NDO Based Attack Detection Observer and Isolation Strategy in Distributed DC Microgrid with FDIA
Authors: Zhang Daming , Zhang Chuanlin 
Published: February 2021

Abstract
In this paper, an isolation scheme is proposed to mitigate adverse effects of false data injection attack (FDIA) in cyber layer of distributed DC microgrids. Firstly, the attack signal in communication link is effectively estimated by the nonlinear disturbance observer (NDO). Secondly, an isolation mechanism is designed to distributively insulate the misbehaving agent of cooperative control, and further to mitigate adverse effects on voltage regulation and power sharing in DC microgrids. Thirdly, considering the changes in load distribution during the process of isolation, a domination controller for stabilizing DC/DC boost converter is introduced to ensure the rapid voltage convergence with accurate tracking over a wide operating range. Simulation results are conducted on an islanded DC MG test system to verify the effectiveness of the proposed scheme.
Economic dispatch of household PV-BS-EV microgrid under TOU tariffs
Authors: Yi-wei MA , Shi-qiang DING , Qi-ming JING , Xian-lun TANG 
Published: February 2021

Abstract
Economic dispatch is a hotspot issue of household hybrid energy microgrid. This paper gives modellings of a typical household microgrid integrated with solar PV, battery energy storage system (BS) and electric vehicle (EV). The charging/discharging strategy of EV and its coordinated dispatch strategy with supply side units are presented to solve the minimum system operation objective under time of use (TOU) tariffs. The simulation results show that the proposed method is effective and feasible.
Research on Aggregation Model of Wind Farm Based on SSO Complex Torque Coefficient Analysis
Authors: Xunwen SU , Hanqing CUI , Yuming PEI , Dongni ZHANG , Pengyu AN 
Published: February 2021

Abstract
In order to study the influence of the clustering aggregation of doubly-fed wind turbines (DFIG) in the wind-fire bundling system on the system subsynchronous oscillation (SSO), the expression of the DFIG output active power on the electrical damping De of thermal power units is first derived. Then the wind-thermal bundling system is built based on the IEEE first bench mark, and the wind farm is aggregated to several groups according to the rated power. The complex torque coefficient method is used to analyze the two cases of the same running state of the wind turbine and the difference of wind speed between the turbine and verified by time-domain simulation. The results show that the difference in wind speed within the DFIG groups has little effect on the system oscillation frequency before and after the aggregation of the wind farm, but there may be a slight error in the electrical damping coefficient before and after the aggregation,but the error does not affect the trend and analysis of damping characteristics of system. When studying the influencing factors of wind-fire bundling system SSOthe aggregated model can be uesd to improve simulation efficiency.
A Defect Detection Method Based on Faster RCNN for Power Equipment
Authors: Cheng Yang , Xia Lingzhi , Yan Bo , Chen Jiang , Hu Dongsheng , Zhu Lvfu 
Published: February 2021

Abstract
With the wide application of infrared image acquisition technology in power inspection, a large number of infrared images of power equipment have been obtained. The traditional machine learning method has low accuracy and poor generalization. Therefore, in this paper, the deep learning technology is applied to infrared image detection of power equipment, and a defect detection method based on Faster region convolution neural network (RCNN) is proposed. In this method, the deep residual network is used to extract image features, and the regional proposal network is optimized according to the shape characteristics of power equipment, and the network is trained with the help of shared convolution layer. The experimental results show that the proposed method has high detection accuracy, good robustness and generalization ability.
A Coordinated Dispatch Method for Receiving-end Grid Considering HVDC Power Characteristics
Authors: Jiao Shumei , Chen Yuanyang , Cao Yijia , Liao Changfeng , Tan Yi , Li Yong , Zeng Zilong , Guo Siyuan 
Published: February 2021

Abstract
The power injection from the high-voltage direct current (HVDC) transmission system has a significant impact on the operation and scheduling of the receiving-end power system. In this paper, considering the unipolar blocking faults and the power characteristics of the traditional HVDC system (i.e., LCC-HVDC), a multi-period dispatch model is proposed for the receiving-end power system to achieve the coordinated optimization of various dispatchable resources such as the power injection of LCC-HVDC and the local generation. In the proposed model, the constraints such as those related to the number of LCC-HVDC power adjustments, branch power flow, bus voltage and the output of local generators are taken into account, and its objective is to minimize the total power purchase cost of the receiving-end power system. To solve the proposed model efficiently, the method for determining the time of changing LCC-HVDC power injection is first proposed, and then its results are used to further solve the proposed multi-period dispatch model of the receiving-end power system. The simulation results show that the dispatch method proposed in this paper can effectively deal with LCC-HVDC unipolar blocking faults, and reasonably optimize the power purchase cost of the receiving-end power system.
Design of Capacitor-less LDO applied to Low Power Supply with High-precision Bandgap
Authors: Li Sheng , Xin Xiaoning , Jian Ren , Pang Jinghang 
Published: February 2021

Abstract
This paper proposes a capacitor-less low dropout regulator (LDO) applied to low power supply to meet the needs of low power consumption and highly integration. In order to improve the transient response of the system, a dynamic bias circuit is designed, which can automatically track the change of load current. In addition, the temperature coefficient of bandgap reference in conventional LDO is generally 20-100 ppm/°C. The bandgap reference circuit proposed in this paper can achieve 1.73 ppm/°C without trimming, and the accuracy is better than 1% at all process corner. The design and simulation are based on TSMC 0.18 μm CMOS process, the simulation results show that the LDO output voltage is 1 V when input power supply voltage is 1.2 V. The proposed regulator can operate with a minimum dropout voltage of 200 mV when load current is 50 mA. The maximum undershoot and overshoot voltages are 34 mV and 28 mV, respectively, with 1mA-50mA and 50mA-1mA step load current.
Regional Energy Community Planning Considering Wind Power Uncertainty
Authors: Zhao Long , Pan Yueming , Qiu Peng , Xuan Lv 
Published: February 2021

Abstract
Large-scale uncertain wind power grid connection will put forward higher requirements for system planning, and also bring challenges to power quality, power reliability, safe and economic operation of power system. In view of the problem of considering the uncertainty of wind power scenarios in system planning, in this paper, the k-means clustering method is used to cluster and reduce the historical data of wind farms to obtain typical days of wind power output. The regional energy community planning model that considers the uncertainty of wind power and uses the minimum planning cost as the objective function is established. The obtained typical wind power scenarios replace the wind power scenarios of the regional energy community in the planning period for simulation analysis. The results based on the simulation software show that the scenario method can improve the feasibility and effectiveness of planning for wind power factors in the regional energy community, promote the scale development of wind power, reduce the wind abandonment rate and planning costs to maximize the benefits of planning.
A novel fast SVPWM method based on two-stage transformation for three-level inverter
Authors: He Li , Wang Bin , Liu Jiang , Yan Yong 
Published: February 2021

Abstract
Compared with the two-level inverter, the three-level inverter has excellent performance in pressure voltage switching loss and harmonic applied to the fields of the speed regulation and new energy generation. However, the computational complexity of the space vector pulse width modulation (SVPWM) method for multilevel inverter restricts the implementation on low cost microprocessor. This paper proposes a novel fast SVPWM method for three-level inverter to convert the space voltage vector in the three-level space to the two-level by vector subtraction with the central vector. The conduction time of each switch can be computed quickly so that the runtime is reduced significantly. Finally, the experimental results verify the effectiveness and practicability of the new space vector modulation algorithm based on two-stage transformation.
Architecture Design of Digital Twin Platform for AC&DC Hybrid Transmission System with MMC-HVDC
Authors: Zhou Jingsen , Wei Jinxiao , Xie Gangwen , Ran Li , Zhang Youqiang 
Published: February 2021

Abstract
With the development of power electronic devices, more and more high-power power electronic devices were used in high-voltage DC transmission. The purpose is to improve the stability of grid and the acceptance ability of new energy. The Yu-E flexible DC back-to-back interconnection project is a typical example of this technology. However, due to the large number of power electronic devices and sub modules, it brings many difficulties to the analysis of AC&DC hybrid power system, Especially when there is a lot of new energy penetration. This paper is based on the concept of digital twin, equivalent to the MMC sub-module as a series connection of the power supply and its on-resistance, then based on actual operating parameters and grid planning, a set of digital twin platforms for AC&DC transmission systems with large-scale new energy integration has been established. Comparing the running results of the digital twin model with the actual running state, the method and architecture described in this paper have certain practicability and effectiveness.
Dielectrophoresis Assembly of Nanowires in a Conductive Island-based Microelectrode System
Authors: Du Shan , Ding Haitao 
Published: February 2021

Abstract
Dielectrophoresis has attracted much attention in the field of nanowire assembly because of its high precision, high efficiency. However, the research on the mechanism related to the motion trajectory in the process of nanowire assembly is still in development. In this paper, a conductive island-based microelectrode system is reported to optimize the dielectric assembly process of nanowires. The existence of conductive islands can improve the positioning accuracy of nanowires during their assembly process. A simulation model of nanowire dielectric assembly based on the conductive island-based microelectrode system is established to analyze the dielectrophoresis force and motion trajectory of the nanowire during the assembly process. The simulation results show that the final position of the nanowire is mostly located in the gap between the electrode and the conductive island due to the dielectrophoretic force in the near field. Moreover, the nanowire has a tendency to move parallel to the tangent of the electric field line due to the action of the dielectrophoretic force. Therefore, the nanowire connects the electrode and the two ends of the conductive island in parallel.
Design of monitoring system for redundant communication power supply based on ZigBee
Authors: Zhang Shujuan , Ma Wanli , Yu Mengxi , Zhang Feng , Chen Junwei 
Published: February 2021

Abstract
Aiming at the problems of poor maintenance effect and large measurement error of traditional communication power supply monitoring system, a redundant communication power supply monitoring system based on ZigBee is designed. The sensor and power supply cable are installed, the battery working state parameters are collected and cleaned, compressed and fused. The MSP430F149 single chip microcomputer is used to realize the high-speed processing of field information and optimize the configuration of hardware structure. The software maintenance process of the complete redundant communication power supply monitoring system is designed. The logic editing technology is used to correct, adjust and improve the system software. The mathematical model of hardware maintenance is established. The most reasonable monitoring and measurement of redundant communication power supply is calculated by ZigBee method to realize the effective monitoring of communication power supply. The experimental results show that the hardware operation effect of the design system is good, and the measurement error can be effectively reduced.
An Optimal Decision-Making Method for Power Market Transaction Based on Renewable Energy Multi-Scenario Forecast
Authors: Cai Jiarong , Lai Weiwei , Qian Zhenghao , Huang Kang , Zhou Rui , Huang Zhisheng 
Published: February 2021

Abstract
In order to improve the adaptability of power market transaction to the uncertainty of renewable energy, the multi-scenario forecast model of renewable energy is studied and an optimal decision-making method for power market transaction based on renewable energy multi-scenario forecast is proposed. Multi-scenario forecast of renewable energy is a forecast result composed of multiple forecast curves, which is an uncertain forecast model in nature. The optimal power market transaction decision-making method takes the lowest expected cost and the lowest loss of renewable energy as the optimization objectives and comprehensively considers the constraints including power balance, power network transmission capacity and so on. Finally, a case study based on IEEE-30 buses system shows that this method can fully consider the impact of renewable energy uncertainty on trading results and has a significant effect on improving the efficiency of power market transaction results.
Innovative method for state of energy estimation based on improved Cubature Kalman filter
Authors: Zhou Xinan , Zhou Sida , Li Qiangwei , Fan Zhiwei , hua Yang , Yang Shichun , Shao Yulong 
Published: February 2021

Abstract
As the increasing concern of driving ranges for electric vehicles, the precision of state of energy (SOE) estimation contributes to the better performance of battery management. In this article, an innovative method based on 5th-order simplex square-radius cubature Kalman filter is developed to achieve the precise and robust estimation for SOE on electric vehicles. Based on second-order equivalent circuit model and particle-swarm-optimization algorithm, the implementation helps the validation of SOE estimation. The max error of SOE estimation under stable condition is less than 3%, and that for dynamic stress test condition is under 4%. Moreover, the robustness is investigated based on diverse deviations on initialization, delivering the future potential applications on embedded system on cloud-controlling.
Analysis of ZVS Realization with Consideration of Secondary Parasitic Capacitance for High Frequency GaN-based LLC Resonant Converter under DCM Mode
Authors: Li Linkai , Min Run , lyu Dian , Zhang Desheng , Tong Qiaoling 
Published: February 2021

Abstract
LLC resonant converter can achieve zero voltage switching (ZVS) for primary side devices and zero current switching (ZCS) for secondary side rectifiers while operating in discontinuous conduction mode (DCM). However, the parasitic capacitance significantly affects the ZVS realization of primary side switches for high frequency GaN-based LLC converter. In order to reveal the influence, this paper analyses ZVS transition process with consideration of secondary parasitic capacitance in a high frequency GaN-based LLC resonant converter under DCM mode. Then, an accurate model during ZVS transition is derived. To verify the analysis and the derived model, a 250V rating input and 270V/6.6A rating output GaN-based LLC converter prototype operating at 500 kHz is built. The experimental results are consistent with the theoretical analysis.
Design and PLC Realization of Elevator Control Based on LOOK Algorithm
Authors: Wang Yanlin , Jiang Tao 
Published: February 2021

Abstract
The LOOK algorithm is widely used in disk scheduling algorithms for its short seek path. Because its dispatching presents the corresponding characteristics of one-way priority and is similar to the elevator dispatching process, the LOOK algorithm is used to realize elevator dispatching. Through PLC logic operation, the elevator can run stably and efficiently with LOOK algorithm. At the same time, it can reduce the average riding and waiting time of passengers, and improve the operation efficiency of elevator.
A mine digital integrated protector with harmonic detection and analysis function
Authors: Huang Hesong , Wang Jiahao , Sun Zhengqiang 
Published: February 2021

Abstract
Aiming at the protection problems and harmonic detection problems of motor circuit, lighting signal circuit in coal mine, a mine digital comprehensive protector based on STM32 is designed. The protector can realize the protection and harmonic detection of motor circuit, lighting circuit and signal circuit in coal mine, and use windowed interpolation fast Fourier algorithm to calculate and analyze harmonic. The protector has the functions of under voltage, over-voltage, overload, short circuit, three-phase unbalance, open phase, leakage locking, insulation danger indication, over temperature, under temperature, wind power and gas locking, harmonic analysis, local storage, remote control and other functions. The experimental results show that the system design scheme is feasible and effective.
Active Fault-tolerant Control Research of Multi-Agent System
Authors: Wang Jun , Zhang Jie 
Published: February 2021

Abstract
Aiming at the multi-agent system with directed topology, taking into account the possible failure of any actuator of each agent, the design of the robust H
∞ active fault-tolerant controller for the multi-agent system is studied using the compensation control. First, introduce distributed intermediate variables to establish an observer-based closed-loop error model of the multi-agent system, and use the H
∞ control to design a fault detection observer to estimate the fault information of each agent's actuator in real time. Once the accurate fault information is obtained, immediately adjust online control gain to compensate for actuator failure. Finally, a simulation example verifies the effectiveness and feasibility of the proposed method.
Active fault tolerant / intrusion tolerant cooperative control of discrete NCS based on sliding mode variable structure
Authors: Wang Jun , Meng XiaoLi 
Published: February 2021

Abstract
Aiming at the actuator failure in the linear discrete networked control system (NCS) and the denial of service network attack (DoS) on the actuator side, under the discrete event trigger mechanism, an active fault-tolerant/intrusion-tolerant cooperative control method based on sliding mode variable structure is proposed. This method applies the fading adaptive Kalman filter (AKF) to jointly estimate the system state, fault parameters and attack parameters, obtains the estimated value of each parameter vector, and uses the estimated value satisfying the event trigger condition to reconstruct the controller. In this way, system errors caused by actuator faults and attacks are corrected, fault-tolerant and intrusion-tolerant coordinated control is realized, and the purpose of saving network resources can be achieved. Finally, the effectiveness of the control method is verified by simulation.
Improved fast three vector predictive current control of permanent magnet synchronous motor
Authors: Fang Zhiyuan , Luo Chen , Sun Sifan 
Published: February 2021

Abstract
In order to improve the steady-state performance of the traditional model predictive control and reduce the amount of calculation of the control algorithm, this paper proposes a new fast three-vector predictive current control algorithm, which uses the principle of deadbeat control of the dq-axis current to calculate the reference voltage vector, and obtains the reference voltage vector position through sector judgment, combined with the three-vector model predictive control algorithm, the optimal voltage vector is directly applied to the motor, without the need to predict the behavior of the system under the voltage vector, which greatly reduces the amount of calculation. At the same time, due to the introduction of three vectors, three functions are applied in one cycle. The voltage vector greatly improves the steady-state characteristics of the system. The simulation results show that the proposed new three-vector predictive current control algorithm can reduce the amount of calculation and improve the steady-state characteristics of the system.
The Power Control Method of Data Center Based on Cloud- Edge Collaboration
Authors: Zhao Junjie , Hou Yucheng , Liu Liu , Xie Feng , Mao Xiang , Luo Pan , Wang Jinxin , Zhang Zhiqiang , Deng Jiang 
Published: February 2021

Abstract
Data centers have the characteristics of huge energy consumption and strong power fluctuations. To solve the problem of unstable supply and demand such as frequent power fluctuations in the micro-grid of the data center using renewable energies, this paper establishes a controllable load model of server clusters based on the task migration mechanism by analyzing the various tasks and characteristics of large cloud data centers, as well as edge computing nodes. Through the collaborative optimization control of edge and cloud computing tasks, and dynamically adjusting and migrating the server cluster load, a new data center tie-line power control method is proposed. The results of calculation examples show that the method can achieve power smoothing of large-scale cloud data center tie lines through cloud-edge collaborative control.
Distributed cooperative formation of multiple unmanned ships based on KF
Authors: Liu Wang , Lv Xiafu 
Published: February 2021

Abstract
To study the cooperative formation of unmanned ships, and for the influence of noise signals in multiple sensors of multiple unmanned ships, a formation mode based on distributed Kalman filtering is proposed. The position information of the main ship is determined first, and the auxiliary ship sets the desired position of the auxiliary ship as the target of the auxiliary ship according to the position information of the main ship, and finally keeps the formation to move toward the target. The target tracking of single unmanned ship and multiple unmanned ship systems is simulated. The research results show that not only the estimated trajectory of the single unmanned ship is greatly optimized, but the trajectory of each unmanned ship in the multiple unmanned ship system is also very good. It fits the expected trajectory very well and meets the expected requirements.