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7th IEEE International Electrical and Energy Conference, CIEEC 2024

作者： Wang, Yantuan Ye, Hua Yang, Jialun Chu, Xiaodong Mou, Qianying Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

ISBN: (纸本)9798350359558

The modern power system exhibits a double high characteristic, where the physical structure and control strategies of power electronic devices have altered the stability characteristics of the modern power system. This paper investigates the transient instability issue faced by virtual synchronous generators (VSG) equipped with a current limiter during grid faults. Firstly, the transient stability model of the VSG is established. Then, the equal-area criterion (EAC) is employed to reveal the mechanism of transient instability in VSG and elucidate the influence of the current limiter on the transient stability of VSG. Based on this analysis, current angle configuration methods are further proposed to enhance the transient stability of VSG. Finally, the correctness of the mechanism analysis and proposed methods is validated through simulation. © 2024 IEEE.

关键词： Synchronous generators

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Optimal Dispatch for Large-Scale Renewable Energy Bases Without Conventional Power Support

Optimal Dispatch for Large-Scale Renewable Energy Bases With...

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2024 IEEE Region 10 Conference, TENCON 2024

作者： Zhang, Kunpeng Liu, Tianhao Liu, Yutian Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan China

ISBN: (纸本)9798350350821

In large-scale renewable energy base and HVDC systems, the absence of conventional power support makes commutation failures a significant threat to system security and stability. An optimal dispatch method based on Kolmogorov-Arnold Networks (KAN) is proposed, which considers voltage and frequency dynamic security constraints. First, a time-domain simulation model of the system is developed to generate training data for KAN. The KAN is then designed to estimate the transient overvoltage at the point of common coupling in the renewable energy base after the occurrence of commutation failure. Frequency fluctuation is calculated by frequency nadir prediction model. Thirdly, an optimal dispatch model is formulated to maximize the delivered power of HVDC, which considers both operational and dynamic security constraints. Simulation results demonstrate that the proposed optimal dispatch model enhances system security with an acceptable reduction in delivered power. © 2024 IEEE.

关键词： commutation failure Kolmogorov-Arnold Networks LCC-HVDC power generation dispatch renewable energy base transient overvoltage estimation

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Virtual Oscillator Grid-Forming Inverter Stability Analysis Based on Impedance Model 7

Virtual Oscillator Grid-Forming Inverter Stability Analysis ...

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7th IEEE International Electrical and Energy Conference, CIEEC 2024

作者： Guo, Shuiyuan Ye, Hua Yang, Jialun Chu, Xiaodong Mou, Qianying Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China

ISBN: (纸本)9798350359558

Grid-forming (GFM) inverters are DC-AC converters that regulate their AC terminal frequency and voltage in response to real-time measurements. Virtual oscillator control (VOC) is an emerging strategy of grid-forming controllers. Unlike conventional phasor-based control methods such as droop control and virtual synchronous machine control, VOC is a time-domain controller that global convergence can be almost guaranteed by adding a nonlinear element. In this article, the state space model of a VOC-based inverter system connected to an infinite bus is established to access the steady-state values. In order to study the effect of nonlinear terms on the system stability, a detailed impedance model of the VOC controller is proposed. Numerical simulations validate the impedance model. Through the impedance-based method, how the nonlinear term can influence system stability is analyzed. © 2024 IEEE.

关键词： Time domain analysis

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Human Reliability Analysis of Professional Theater Based on CREAM

Human Reliability Analysis of Professional Theater Based on ...

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2024 International Conference on Culture-Oriented Science and Technology, CoST 2024

作者： Wang, Huiqin Wang, Huiqi Ren, Hui Ministry of Culture and Tourism Key Laboratory of Acoustic Visual Technology and Intelligent Control System Beijing China

ISBN: (纸本)9798350380347

In the context of human/equipment interaction processes, human error has become a significant factor influencing performance risk in professional theaters. To address this issue, the Cognitive Reliability and Error Analysis Method (CREAM) is integrated with fuzzy inference to assess the human reliability of theater staff and predict the probability of human error (HEP). Additionally, Grey Relational Analysis (GRA) is introduced to determine the weights of Common Performance Conditions (CPCs) within CREAM. Through this methodological framework, human reliability analysis of theater operators is conducted, enabling the prediction of human error rates across various scenarios. Subsequently, corresponding measures are provided, culminating in an effective solution to enhance performance safety within theatrical environments. © 2024 IEEE.

关键词： Reliability analysis

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Acceleration of Power system Dynamic Simulation with High-Penetration Renewable Generation via Time-Step Adjustment Based on ETFBs 7

Acceleration of Power System Dynamic Simulation with High-Pe...

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7th IEEE Student Conference on Electric Machines and systems, SCEMS 2024

作者： Cao, Jiawen Lv, Dongbao Liu, Xindi Li, Changgang Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan China

ISBN: (纸本)9798350366945

With the widespread integration of renewable energy sources (REs), the number of power system scenarios to be analyzed has increased significantly, and the system structure has become increasingly complex, which increases the computational burden of power system dynamic simulations and leads to substantial computation time. Therefore, there is an urgent need to improve the efficiency of dynamic simulation to meet the requirements of advanced applications. The uEITSA method adopts a fixed system time-step in the overall simulation, which makes it challenging to balance simulation accuracy and efficiency. Therefore, a system time-step adjustment strategy is proposed in this paper to optimize the uEITSA method, implemented in the open-source Simulation Toolkit for Electrical Power systems (STEPS). Firstly, the system time-step adjustment strategy based on elementary transfer function blocks (ETFBs) is introduced. Secondly, the implementation of the proposed strategy in STEPS software is described in detail. Finally, the simplified Shandong Power Grid model is tested to demonstrate that the proposed system time-step adjustment strategy can improve simulation efficiency without jeopardizing simulation accuracy. © 2024 IEEE.

关键词： Power systems computer aided design

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Voltage control in Distributed Photovoltaic Power Distribution Networks Using Multi-Agent Deep Reinforcement Learning 7

Voltage Control in Distributed Photovoltaic Power Distributi...

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2024 7th International Conference on Mechanical, Electrical and Material Application, MEMA 2024

作者： Xin, Peiqi Wang, Hongtao Wang, Haobo Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

This study introduces a unique method employing the Multi-Agent Deep Deterministic Policy Gradient (MADDPG), a sophisticated deep reinforcement learning algorithm, for efficient voltage control in photovoltaic (PV) power distribution networks. The algorithm's design emphasizes minimizing the need for communication and effectively managing delays, which are pivotal in ensuring consistent and reliable control in environments with fluctuating renewable energy sources. In simulations using the IEEE-33 power distribution system, the research demonstrates the algorithm's ability to ensure stable and efficient network functioning, even under varying environmental and load conditions. This highlights its potential as a robust solution for modern and renewable energy-integrated power systems. © Published under licence by IOP Publishing Ltd.

关键词： Renewable energy

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Turbulent drag reduction by sector-shaped counter-flow dielectric barrier discharge plasma actuator

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Chinese Physics B 2025年第2期34卷 362-370页

作者： Borui Zheng Shaojie Qi Minghao Yu Jianbo Zhang Linwu Wang Dongliang Bian School of Automation and Information Engineering Xi’an University of TechnologyXi’an 710048China School of Mechanical and Precision Instrument Engineering Xi’an University of TechnologyXi’an 710048China Science and Technology on Plasma Dynamics Laboratory Air Force Engineering UniversityXi’an 710038China Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi’an 710048China Shaanxi University Key Laboratory of Photonic Power Devices and Discharge Regulation Xi’an 710048China

The primary objective in aircraft transportation is to minimize turbulent drag, thereby conserving energy and reducing emissions. We propose a sector-shaped counter-flow dielectric barrier discharge plasma actuator, which leverages jet synthesis for drag reduction. A drag control experiment was conducted in a low-speed wind tunnel with a controlled flow velocity of 9.6 m/s(Re = 1.445 × 10^(4)). This study investigated the effects of varying pulse frequencies and actuation voltages on the turbulent boundary layer. Using a hot-wire measurement system, we analyzed the pulsating and time-averaged velocity distributions within the boundary layer to evaluate the streamwise turbulent drag reduction. The results show that the local TDR decreases as the pulse frequency increases, reaching a maximum reduction of approximately 20.97% at a pulse frequency of 50 Hz. In addition, as the actuation voltage increases, the friction coefficient decreases, increasing the drag reduction rate. The maximum drag reduction of approximately 33.34% is achieved at an actuation voltage of 10 kV.

关键词： plasma flow control turbulent boundary layer turbulent drag reduction

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Photovoltaic,thermoelectric and electromagnetic generation technologies applied in power systems for mobile unmanned systems

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Science China(Technological Sciences) 2023年第3期66卷 599-629页

作者： DING Ning WANG XiangYang XIAN XiaoYang CAI YeYun LIU DaoMing DENG Fang Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of TechnologyBeijing 100081China Beijing Institute of Technology Chongqing Innovation Center Chongqing 401120China

Unmanned systems are increasingly adopted in various fields,becoming an indispensable technology in daily *** systems are the lifeblood of unmanned systems,and affect the working time and task ***,traditional power systems,such as batteries and fuels have a fixed ***,once the power supply is exhausted and cannot be replenished in time,the unmanned systems will stop ***,researchers have increasingly begun paying attention to renewable energy generation *** principles,advantages,and limitations of renewable energy generation technologies are different,and their application effects in different unmanned systems are also *** paper presents a comprehensive study of the application and development status of photovoltaic,thermoelectric,and magnetoelectric generation technologies in four kinds of unmanned systems,including space,aviation,ground,and water,and then summarizes the adaptability and limitations of the three technologies to different ***,future development directions are predicted to enhance the reliability of renewable energy generation technologies in unmanned *** is the first study to conduct a comprehensive and detailed study of renewable energy generation technologies applied in unmanned *** present work is critical for the development of renewable energy generation technologies and power systems for unmanned systems.

关键词： unmanned system renewable energy generation technology photovoltaic generation thermoelectric generation electromagnetic generation

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Efficient Circuit Diagram Retrieval via Graph Representation

Efficient Circuit Diagram Retrieval via Graph Representation

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2024 China Automation Congress, CAC 2024

作者： Gao, Ming Chen, Hongcai Zhang, Kanjian Wei, Haikun Key Laboratory of Measurement and Control of Complex System Ministry of Education School of Automation Southeast University Nanjing China

ISBN: (纸本)9798350368604

In the field of electronic engineering, the retrieval of circuit diagrams has become an area of considerable research interest. This is attributed to the critical role it plays in consulting legacy electronic designs and in the identification of design plagiarism. Existing image retrieval techniques, which are proficient in managing natural images, typically involve the conversion of images into feature vectors and retrieve similar images according to the closeness of these vectors. However, these methods encounter limitations when adapted to the more specialized and complex domain of circuit diagrams. This paper introduces an innovative approach to the retrieval of circuit diagrams through the use of a graph representation of these diagrams. This novel approach effectively transforms the retrieval task into a graph retrieval problem. The methodology proposed in this paper is comprised of two main components: A recognition algorithm for circuit diagrams designed to accurately extract the components and the topological structure of the circuit and a retrieval strategy based on graph similarity. This methodology is pioneering in its use of graph representation for circuit diagram retrieval, incorporating topological features that are often not considered by conventional image retrieval methods. The experimental results presented in this paper validate the effectiveness of the proposed approach. © 2024 IEEE.

关键词： Circuit Diagram Recognition Circuit Diagram Retrieval Circuit Graph Representation Graph Retrieval

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Online Weapon-target Assignment based on Distributed Auction Mechanism 2

Online Weapon-target Assignment based on Distributed Auction...

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2nd International Conference on Robotics, Automation and intelligent control, ICRAIC 2022

作者： Si, Jiashuai Hao, Mingrui Sci. and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing Beijing China

To solve the problem of online weapon-target assignment (OWTA) in the integration of large-scale search and attack in unknown environment, an OWTA algorithm based on distributed auction mechanism is presented. Aiming at the problem that the traditional combinatorial optimization algorithm needs to set up the global battlefield situation in advance, considering the consumability of resources in the attack process, the integrated search and attack task flow is established. Considering the communication restricted environment, the unmanned aerial vehicles (uavs) are grouped, with centralized architecture within the group and distributed structure between the groups, and the corresponding distributed auction mechanism is constructed to achieve OWTA within the communication range limited. In order to solve the problem that it is difficult to ensure the time consistency of the coordinated attack target, a dubins cooperative path planning based on cooperative particle swarm optimization (CPSO) algorithm is proposed. Particle swarm optimization algorithm is used to adjust the radius of the dubins path of each bomb, so that the uav in the same group can hit the target simultaneously without collision and have the shortest flight range. The simulation results show that the designed distributed auction algorithm takes into account the consumption of attack resources, and quickly redistributes the firepower to the new targets in the dynamic uncertain environment, which ensures the maximization of the execution efficiency of the multi-machine cluster fire allocation task. © Published under licence by IOP Publishing Ltd.

关键词： Combinatorial optimization

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