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Microgrid Energy Management with Energy Storage Systems:A Review

CSEE Journal of Power and Energy Systems 2023年第2期9卷 483-504页

作者： Xiong Liu Tianyang Zhao Hui Deng Peng Wang Jizhen Liu Frede Blaabjerg Energy Electricity Research Center Jinan UniversityZhuhai 519070China School of Electrical and Electronic Engineering Nanyang Technological University639798 Singapore School of Control and Computer Engineering North China Electric Power UniversityBeijing 102206China Department of Energy Technology at Aalborg University Denmark

Microgrids(MGs)are playing a fundamental role in the transition of energy systems towards a low carbon future due to the advantages of a highly efficient network architecture for flexible integration of various DC/AC loads,distributed renewable energy sources,and energy storage systems,as well as a more resilient and economical on/off-grid control,operation,and energy ***,MGs,as newcomers to the utility grid,are also facing challenges due to economic deregulation of energy systems,restructuring of generation,and marketbased *** paper comprehensively summarizes the published research works in the areas of MGs and related energy management modelling and solution ***,MGs and energy storage systems are classified into multiple branches and typical combinations as the backbone of MG energy ***,energy management models under exogenous and endogenous uncertainties are summarized and extended to transactive energy *** programming,adaptive dynamic programming,and deep reinforcement learning-based solution methods are investigated accordingly,together with their implementation ***,problems for future energy management systems with dynamics-captured critical component models,stability constraints,resilience awareness,market operation,and emerging computational techniques are discussed.

关键词： Architecture energy management energy storage systems microgrids optimization uncertainty models

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Data-Driven Modeling and Working Condition Prediction in Process Industry Production 21

Data-Driven Modeling and Working Condition Prediction in Pro...

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21st International Conference on Networking, Sensing and control, ICNSC 2024

作者： Zhang, Meifang Wang, Ziqi Bi, Jing Yuan, Haitao College of Computer Science Beijing University of Technology Beijing China School of Automation Science and Electrical Engineering Beihang University Beijing China

ISBN: (纸本)9798350365221

In the production process of the process industry, precise adjustment of working conditions presents a challenge due to the complexity of processes and unknown disturbances. Central control operators need to adjust setpoints based on deviations in process parameters and monitor target values to maintain system stability. However, many operating procedures excessively rely on human experience, increasing the uncertainty of the production process. In addition, the expert knowledge is not fully embedded in accumulated operations, limiting its potential in decision support. Therefore, data-driven modeling of production processes is essential for developing industrial expert systems to realize intelligent manufacturing. This work proposes a work condition prediction framework based on an Operation Mode Library (OML) to realize Working Condition Prediction (WCP), called for OML-WCP short. Taking the cement rotary kiln adjustment process as an example, a stable OML is constructed using Gaussian mixture clustering technology. Experimental results with real-life operation data of a cement plant reveal that the prediction accuracy of OML-WCP outperforms the existing methods. Moreover, the continuous accumulation of operating mode libraries can improve prediction accuracy in practical annlications. © 2024 IEEE.

关键词： Cements

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Long-term Water Quality Prediction Based on Multimodal Fusion and Temporal 2D-variation 21

Long-term Water Quality Prediction Based on Multimodal Fusio...

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21st International Conference on Networking, Sensing and control, ICNSC 2024

作者： Wu, Xiangxi Wang, Ziqi Li, Yibo Bi, Jing Yuan, Haitao College of Computer Science Beijing University of Technology Beijing China School of Automation Science and Electrical Engineering Beihang University Beijing China

ISBN: (纸本)9798350365221

The global water environment confronts numerous challenges, e.g., water pollution, overexploitation, and ecological degradation. Comprehensive protection and management are imperative for sustainable water resource utilization. Water quality predictions provide timely warning of future water quality problems and enable early action to avoid deterioration. As science and technology are increasingly applied in comprehensive water environment management, a diverse array of multimodal data is gathered from various sources, including remote sensing images and hydrological time series. However, current water quality prediction methods, e.g., statistical, machine learning, and deep learning methods fail to utilize multimodal data to enhance their accuracy of water quality prediction. To solve the above problem, this work proposes a multi-factor and long-term water quality prediction model based on multimodal data fusion named Low-rank Multimodal Fusion TimesNet (LMF-TimesN et), It first extracts features from hydrological time series and remote sensing images, respectively. Then, they are fused with the low-rank multimodal fusion network to extract diverse information. Finally, TimesNet is adopted to integrate fused multimodal water environment information for water quality prediction. Experimental results on a real-world dataset show that LMF - TimesNet achieves higher prediction accuracy and generalization ability than its state-of-the-art peers. © 2024 IEEE.

关键词： Data quality

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A Switched Capacitor Based Single-Switch Ultrahigh Step-Up DC-DC Converter 7

A Switched Capacitor Based Single-Switch Ultrahigh Step-Up D...

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7th IEEE International electrical and Energy Conference, CIEEC 2024

作者： Fu, Yu Ren, Zepei Hao, Shicheng Li, Shouxiang Xie, Wenhao School of Automation Beijing Institute of Technology Beijing China School of Computer and Communication Engineering Northeastern University at Qinhuangdao Qinhuangdao China College of Electrical and Electronic Engineering Wenzhou University Wenzhou China

ISBN: (纸本)9798350359558

This paper proposes a switched capacitor based step-up DC-DC converter with the advantages of single-switch, continuously adjustable ultrahigh voltage gain and low input current ripple. To achieve high gain characteristics, the converter utilizes a quadratic boost converter on the input side to ensure continuous input current. Additionally, it implants the second winding of a coupled inductor within it, connecting it to the first winding of the coupled inductor and a voltage multiplier. The analysis includes a discussion of the operating principle, the derivation of the steady-state key equations, the voltage and current stress on the components, and the boundary condition. A functional prototype is built to confirm the theoretical analysis. © 2024 IEEE.

关键词： Boost converter

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A Three-Dimensional Force Estimation Method for the Cable-Driven Soft Robot Based on Monocular Images

A Three-Dimensional Force Estimation Method for the Cable-Dr...

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2024 IEEE International Conference on Robotics and Biomimetics, ROBIO 2024

作者： Zhu, Xiaohan Bu, Ran Li, Zhen Xu, Fan Wang, Hesheng School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Department of Automation China Artificial Intelligence Research Institute School of Information and Control Engineering China University of Mining and Technology China

ISBN: (纸本)9781665481090

Soft manipulators are known for their superiority in coping with high-safety-demanding interaction tasks, e.g., robot-assisted surgeries, elderly caring, etc. Yet the challenges residing in real-time contact feedback have hindered further applications in precise manipulation. This paper proposes an end-to-end network to estimate the 3D contact force of the soft robot, with the aim of enhancing its capabilities in interactive tasks. The presented method features directly utilizing monocular images fused with multidimensional actuation information as the network inputs. This approach simplifies the preprocessing of raw data compared to related studies that utilize 3D shape information for network inputs, consequently reducing configuration reconstruction errors. The unified feature representation module is devised to elevate low-dimensional features from the system's actuation signals to the same level as image features, facilitating smoother integration of multimodal information. The proposed method has been experimentally validated in the soft robot testbed, achieving satisfying accuracy in 3D force estimation (with a mean relative error of 0.84% compared to the best-reported result of 2.2% in the related works). © 2024 IEEE.

关键词： Robotic surgery

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A Novel Three-DOF Transverse Flux Spherical Actuator With Decoupling Mechanism 26

A Novel Three-DOF Transverse Flux Spherical Actuator With De...

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26th International Conference on electrical Machines and Systems, ICEMS 2023

作者： Liu, Xiaoshuai Yan, Liang Xiang, Pengjie He, Xinghua Du, Nannan Wu, Chong Beihang University School of Automation Science and Electrical Engineering Science and Technology on Aircraft Control Laboratory Beijing China

ISBN: (纸本)9798350317589

This paper proposes a novel multi-DOF spherical actuator based on transverse flux and three-DOF decoupling mechanism. Firstly, the structure and working principle of the new multi-DOF spherical actuator are presented. Then, numerical simulations are performed to analyze its magnetic field and torque, resulting in the basic performance curve of the spherical motor. Finally, The structure of this spherical actuator is optimized by numerical simulation. The optimization results show that the performance of the optimized spherical actuator has been effectively improved in terms of torque ripple, output torque and control precision. © 2023 IEEE.

关键词： Spheres

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The Method for smart grid false data injection attack detection based on multilevel fingerprint identity authentication

The Method for smart grid false data injection attack detect...

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2024 International Conference on Smart Grid and Artificial Intelligence, SGAI 2024

作者： He, Wei Wen, Chenglin Liu, Weifeng School of Electrical and Control Engineering Shaanxi University of Science and Technology Xi'an710021 China School of Automation Guangdong University of Petrochemical Technology Maoming525000 China

With the rapid development of Cyber-Physical Systems (CPS), security concerns have increasingly garnered attention. This paper focuses on the security threats faced by smart grid systems, particularly false data injection (FDI) attacks, and proposes a multilevel fingerprint identity authentication method to provide effective security for the operation of smart grids. Firstly, we construct a mathematical model of the smart grid by using harmonics and direct current attenuation components to establish a foundation for subsequent feature extraction and matching authentication. Secondly, a multi-granularity feature approach is utilized to represent the model in multiple levels and extract feature information granularity, thereby enhancing the system's ability to detect attack signals. In addition, we employ the gap measurement method to perform multi-scale matching of the granularity information of sensor data with that of the data security repository, to detect attack signals. Finally, experimental results confirm that this method effectively detects FDI attacks, improves detection accuracy while ensuring real-time detection, and realizes the safe and reliable operation of smart grid systems. © Published under licence by IOP Publishing Ltd.

关键词： Smart power grids

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A Spoke-Type PM Machine with Quasi-Trapezoid Magnets and Quasi-Dovetail Iron Poles 26

A Spoke-Type PM Machine with Quasi-Trapezoid Magnets and Qua...

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26th International Conference on electrical Machines and Systems, ICEMS 2023

作者： Xiang, Pengjie Liang, Yan He, Xinghua Liu, Xiaoshuai Du, Nannan Yang, Xuxu Beihang University School of Automation Science and Electrical Engineering Science and Technology on Aircraft Control Laboratory Beijing China

ISBN: (纸本)9798350317589

This paper proposes a spoke-type PM machine with quasi-trapezoid magnets and quasi-dovetail iron poles (SPM-QMQI). The SPM-QMQI can offer several merits. First, the employment of quasi-trapezoid magnet and iron pole help to achieve strong flux-focusing effect and high saliency ratio, respectively, which contributes to enhancing torque output of the SPM-QMQI machine. Second, the quasi-dovetail iron can enhance flux-shielding effect and thus the rotor yoke can be replayed with low-density non-ferromagnetic material contributing to reducing rotor mass. Besides, the dovetail-shaped iron pole can protect the rotor magnet against centrifugal force, and thus the conventional rotor sleeve can be removed contributing to a small airgap length. Third, the magnet usage efficiency of electrical machine can be increased greatly, because of the magnet volume reduction and torque improvement. First, the schematic structure and characteristics of proposed QMQI pole pattern are presented. Subsequently, the impact of the key structural parameters and current angle of the QMQI pole pattern on the output characteristics of the electrical machine is investigated. Following that, the electromagnetic characteristics of the proposed QMQI pole design, such as airgap magnetic field, back electromotive force, torque output and ripple, magnet loss, rotor mass and magnet utilization ratio, are compared with with those of the conventional electric machine design to confirm the merits of the proposed SPM-QMQI design. The SPM-QMQI machine have high torque output, low rotor mass and small magnet volume simultaneously, which is desirable for many industrial applications. © 2023 IEEE.

关键词： Iron

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EMI suppression in a Buck converter based on Chaotic Gaussian switching waveform technique

EMI suppression in a Buck converter based on Chaotic Gaussia...

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2024 CSAA/IET International Conference on Aircraft Utility Systems, AUS 2024

作者： Wang, Jingsong Li, Chentao Wang, Xutian Xu, Ping Ma, Qishaung School of Automation Science and Electrical Engineering Beihang University Beijing China Navigation Guidance and Control Institute of NORINCO Group Beijing100089 China

With the extensive use of wide bandgap represented by silicon carbide (SiC) and gallium nitride (GaN) semiconductor devices, The power density of power electronic converters has been enhanced, driving towards miniaturization and integration, which has led to a more intricate electromagnetic environment within power converters, and the accompanying electromagnetic interference (EMI) problem has become more prominent. Generally, the voltage and current mutation caused by the rapid switching action of power semiconductor devices is regarded as the primary source of EMI in power converters. To mitigate the conducted EMI from power converters, this study employed an infinitely differentiable "S"-shaped Gaussian function and chaotic pulse width modulation (CPWM) signals for convolution, yielding an optimized chaotic gaussian pulse width modulation (CGPWM) signal that served as a reference waveform to shape the switching voltage waveform of the power metal-oxide-semiconductor field-effect transistors (MOSFETs). Experimental results demonstrate the efficacy of this driving waveform in suppressing EMI generated by power converters. © The Institution of engineering & Technology 2024.

关键词： Gallium nitride

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Dynamic and Static Simulation Analysis and Optimisation Design of DC220V Permanent Magnetic Detacher 7

Dynamic and Static Simulation Analysis and Optimisation Desi...

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7th International Conference on Electric Power Equipment - Switching Technology, ICEPE-ST 2024

作者： Dai, Dongyun Zhuo, Kaicai You, Yimin Wang, Xiankun Wang, Xu School of Electrical Engineering and Automation Xiamen University of Technology Xiamen Key Laboratory of Frontier Electric Power Equipment and Intelligent Control Xiamen China

ISBN: (纸本)9798350388947

In order to solve the problems of too long action time and low action reliability of electromagnetic type tripping release of vacuum circuit breaker. This paper researches and designs a kind of rated control voltage is DC220V, tripping action time is less than 15ms, tripping current is less than 2A permanent magnetic detacher. Firstly, Solidworks software is applied to establish the 3D model of the permanent magnet detacher and simplify the model. Considering the key components of the permanent magnet detacher, Maxwell simulation software is applied to analyze the dynamic and static simulation of the permanent magnet detacher, which finally meets the design requirements and is verified by tests. The test results show that the designed permanent magnetic detacher can shorten the breaking time of vacuum circuit breaker from the original 30ms to less than 15ms under its rated control voltage. The research results of this thesis can provide guidance for the simulation and optimization design of permanent magnet detacher, which has certain engineering application value. © 2024 IEEE.

关键词： Permanent magnets

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