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4th International Conference on Power and Energy Technology, ICPET 2022

作者： Guo, Tianyu Guo, Haiping Luo, Chao Miao, Lu Huang, Libin State Key Laboratory of Hvdc Electric Power Research Institute China Southern Power Grid China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China China Southern Power Grid Csg Key Laboratory for Power System Simulation Electric Power Research Institute Guangzhou China Electric Power Dispatching and Control Center of Guangdong Power Grid Guangzhou China

ISBN: (数字)9781665480796

ISBN: (纸本)9781665480796

The bidirectional power converter (BPC) in the ac/dc hybrid microgrid plays a vital role in maintaining the dynamic balance of power in the microgrid, achieving mutual support of power between the AC and the DC areas, and improving the power quality. In view of this, this paper proposes a robust control method for BPC in the ac/dc hybrid microgrid based on the H∞ tracking problem. First, based on the superposition theorem, the voltage control problem of the ac/dc hybrid microgrid is converted into a H∞ tracking problem for solution, and the robust controller is mathematically proved to exist stably. Then, the designed H∞ robust controller is reduced based on the principle of optimal Hankel norm approximation reduction. Finally, the simulation model is built based on the MATLAB/Simulink to verify the correctness and effectiveness of the proposed method. © 2022 IEEE.

关键词： Robust control

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A Configuration Design Method for Reconfigurable Robots Based on Terrain Understanding

A Configuration Design Method for Reconfigurable Robots Base...

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2021 International Conference on Robotics Automation and Intelligent control, ICRAIC 2021

作者： Shang, Hua Xi, Yurong Xie, Zhibing Xiao, Xueming Yao, Meibao State Key Laboratory of Automotive Simulation and Control Jilin University Jilin Changchun China School of Artificial Intelligence Jilin University Jilin Changchun China School of Opto-Electronic Engineering Changchun University Jilin Changchun China

Reconfigurable robots have excellent reconfigurability and environmental adaptability, but the configuration design method to select appropriate configuration with different environments has not been fully studied. Most of the existing work is based on the known global environment information, or only focus on the structure design. How to effectively obtain rich terrain information for subsequent configuration design is the subject of this paper. In our work, a comprehensive method of obtaining robotic configuration is proposed which considering geometric information and semantic information of unstructured terrain. And it provides new possibilities for reconfigurable robots to perform autonomous tasks in complex scenarios. Results of simulation experiments prove the availability of the mentioned method. © 2022 Institute of Physics Publishing. All rights reserved.

关键词： Machine design

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Internal Energy Recycling in Fapbi3/Mxene for Enhanced Photocatalytic H2 Evolution

SSRN

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SSRN 2024年

作者： Wang, Feng Guo, Ziwang Liu, Lulu Gong, Rui Jia, Guangri Xu, Yanchao Wei, Shuting Zhang, Dantong Ding, Baofu Cui, Xiaoqiang State Key Laboratory of Automotive Simulation and Control School of Materials Science and Engineering Key Laboratory of Automobile Materials of MOE Jilin University 2699 Qianjin Street Changchun130012 China Institute of Technology for Carbon Neutrality Shenzhen Institute of Advanced Technology CAS Shenzhen518055 China Key Laboratory of Materials Design and Quantum Simulation School of Science Changchun University No.6543 Satellite Road Changchun130022 China Faculty of Materials Science and Energy Engineering Shenzhen University of Advanced Technology Guangdong Shenzhen518055 China

Carrier recombination is one of the main factors in lowering charge separation efficiency, and thus severely restricts photocatalytic performance. In this work, we demonstrate a composite system of FAPbI3/MXene/Pt, featuring an internal energy cycling from the non-radiative fluorescence resonance energy transfer (FRET) between perovskite and MXene. That is, the energy of the emitted fluorescent photons is reabsorbed by each other. Recycling process exploits the energy released by carrier recombination and increases efficiency of charge separation. As a result, the composite of FAPbI3/MXene/Pt possesses a rapid H2 evolution rate of 2394 µmol g-1 h-1 under 1.5 AM simulated sunlight, which is more than one order of magnitude higher than that of FAPbI3/Pt (64 µmol g-1 h-1). The proposed insight not only provides an efficient strategy to promote photocatalytic H2 evolution based on perovskite-based composite, but also opens up opportunities to design other novel heterogeneous catalytic materials and promote their application potential in various catalytic fields. © 2024, The Authors. All rights reserved.

关键词： Perovskite

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A Repetitive Motion Obstacle Avoidance Planning Scheme for Omnidirectional Mobile Manipulators with Noise Suppression Capability

A Repetitive Motion Obstacle Avoidance Planning Scheme for O...

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Chinese Automation Congress (CAC)

作者： Tang Shi-jun Hu Yun-feng Sun Zhong-bo Zhang Chong Fei Yu-zhe Xiao Xing-tian State Key Laboratory of Automotive Simulation and Control Jilin University College of Communication Engineering Jilin University Changchun China Department of Control Engineering Intelligent Rehabilitation Engineering Technology Laboratory Changchun University of Technology

Obstacle avoidance is essential for an omnidirectional mobile robotic arm (OMRA) to accomplish a given task in a complex environment. To make OMRA accomplish repetitive motion, obstacle avoidance, and trajectory tracking tasks in complex dynamic environments with the presence of obstacles and external disturbances, a new noise-suppressed repetitive motion obstacle avoidance (NSRMOA) scheme is proposed. As established previously many OMRA motion planning assumes that the simulation is noise free. However, noise interference may prevent OMRA from accomplishing repetitive motion, obstacle avoidance, and trajectory tracking tasks, which may lead to task failure. The proposed the NSRMOA scheme with intrinsic noise suppression can solve external noise interference, so that the OMRA can accomplish the repetitive motion, obstacle avoidance and trajectory tracking tasks in the presence of external noise interference. Finally, the optimal solution of the NSRMOA scheme can be effectively obtained by using recurrent neural network (RNN). The effectiveness and accuracy of the scheme are verified by examples and comparisons.

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Conflict Mechanism Analysis Method for Electric Vehicles Participating in Multiple Types of Power Grid Ancillary Services

Conflict Mechanism Analysis Method for Electric Vehicles Par...

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2023 International Conference on Power System Technology, PowerCon 2023

作者： Xue, Yinjuan Chen, Qifang Cai, Haiqing Xia, Mingchao Gu, Haohan School of Electrical Engineering Beijing Jiaotong University Beijing China State Key Laboratory of Hvdc Electric Power Research Institute China Southern Power Grid National Energy Power Grid Technology R&d Centre Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China Csg Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China

ISBN: (纸本)9798350300222

As the high-quality flexible resource of the grid, electric vehicles (EVs) can provide multiple auxiliary services for the grid at the same time. However, due to the one-way charging and discharging of EVs, as well as the limitation of power and capacity, which may cause availability conflicts when EVs participate in different auxiliary services simultaneously. This paper focuses on the analysis of the conflict mechanism of EVs participating in the secondary frequency regulation and peak shaving ancillary services at the same time. The impact mechanism between different auxiliary services in this conflict mode is revealed from the two aspects of limit conflict and charging and discharging instruction conflict, and the results of availability conflict of the two types of auxiliary services are verified and analyzed through simulation examples. © 2023 IEEE.

关键词： Frequency modulation

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Research on identification method of weak links in transmission network considering strong wind in severe cold weather 6

Research on identification method of weak links in transmiss...

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2022 6th International Conference on Electrical, Mechanical and Computer Engineering, ICEMCE 2022

作者： Zhuang, Guanqun Wang, Weichen Li, Dexin Gao, Song Wang, Changjiang Electric Power Research Institute State Grid Jilin Electric Power Supply Co. Ltd. Changchun Jilin132021 China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Tech-nology Ministry of Education Northeast Electric Power University Jilin132012 China

The ice disaster has brought many adverse effects on the power transmission system, which is mainly studied from the transmission line failure rate perspective. Strong winds often accompany the ice disaster weather, the motion path of wind is considered when identifying the weak location of transmission network system. According to the theory of meteorological simulation, and the mathematical relationship between the effective wind speed and the forced outage rates is obtained. A transient stability risks assessment method is proposed considering the ice disaster in the case of a strong wind moving path. According to the fault probability of transmission lines, a predictive fault set for power grid risk assessment is established. The IEEE-39 bus system is used as an example to analyze the effectiveness of the proposed method. The simulation results show that meteorological parameters, geographical environment, and other factors, especially the meteorological advance speed and the direction of transmission lines, will cause greater damage to the stability of the transmission system. © Published under licence by IOP Publishing Ltd.

关键词： Electric lines

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Interfacial Engineering Layered Bimetallic Oxyhydroxides For Efficient Oxygen Evolution Reaction

SSRN

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SSRN 2024年

作者： Zhang, Xiaolin Xu, Huanjun Shi, Qiang Sun, Wei Han, Xu Jiang, Dan Cao, Yang He, Danfeng Cui, Xiaoqiang College of Science Laboratory of Child Cognition & Behavior Development of Hainan Province Qiongtai Normal University Haikou571127 China State Key Laboratory of Automotive Simulation and Control Department of Materials Science Key Laboratory of Automobile Materials of MOE Jilin University 2699 Qianjin Street Changchun130012 China Key Laboratory of Laser Technology and Optoelectronic Functional Materials of Hainan Province China Coal Energy Company Limited Hainan Branch Haikou570100 China

Transition metal oxyhydroxides (MOOH) have garnered significant attention promising catalyst for the Oxygen Evolution Reaction (OER). However, the direct synthesis of MOOH poses challenges due to the instability of trivalent cobalt and nickel salts, attrivuted to their high oxidation states. In this study, theoretical computations predicted that Co(OH)2 nanosheets are exclusively formed on carbon structures, owing to the stronger binding energy between CoOOH and CC compared to Co(OH)2. Furthermore, the presence of FeOOH interface reduces the binding energy between CoOOH and carbon structure. Experiment evidence confirms that CoOOH can be directly synthesized through controlled epitaxial growth on an FeOOH interface using a hydrothermal method. Moreover, the in-situ doping of iron leads to the formation of high-quality Fe0.35Co0.65OOH with exceptional OER performance, displaying a low overpotential of 240 mV at 10 mA cm-2 and a small Tafel slope of 43 mV dec-1. Density functional theory (DFT) calculations uncover the substantial enhancement of oxygen-containing species adsorption abilities by Fe0.35Co0.65OOH, resulting in improved OER activity. This work presents a promising strategy for the efficient preparation of layered cobalt oxyhydroxides, enabling efficient energy conversion and storage. © 2024, The Authors. All rights reserved.

关键词： Iron compounds

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Design of Diesel Oxidation Catalyst Temperature control System Based on Fuzzy Adaptive PID

Design of Diesel Oxidation Catalyst Temperature Control Syst...

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2021 International Conference on Robotics Automation and Intelligent control, ICRAIC 2021

作者： Wang, Ning Sun, Yao Hu, Yunfeng Zhao, Jinghua Gong, Xun State Key Laboratory of Automotive Simulation and Control Jilin Changchun China College of Artificial Intelligence Jilin University Jilin Changchun China Department of Control Science and Engineering Jilin University Jilin Changchun China College of Computer Jilin Normal University Jilin Siping China

This paper presents a temperature control framework of Diesel Oxidation Catalyst (DOC) of after-treatment system (ATS) which aims to increase the control precise of DOC temperature under different exhaust flow rates. To start with, a control-oriented DOC temperature model is established. Considering the sensitivity of DOC to different exhaust flow rate, a fuzzy adaptive PID temperature control system framework under the Smith predictor is designed. Finally, the controller is verified in the Matlab/Simulink. The results show that when tracking the desired temperature, the overshoot is reduced and the response speed is faster at different exhaust flow rates compared with the traditional PID control system. © 2022 Institute of Physics Publishing. All rights reserved.

关键词： Temperature control

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Lane Change Trajectory Prediction Considering Driving Style Uncertainty for Autonomous Vehicles

SSRN

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SSRN 2023年

作者： Chen, Guoying Gao, Zheng Hua, Min Shuai, Bin Gao, Zhenhai State Key Laboratory of Automotive Simulation and Control Jilin University Changchun130022 China School of Vehicle and Mobility Tsinghua University Beijing100084 China

Lane change trajectory prediction is crucial for autonomous vehicles (AVs) to assess their own driving safety in advance. However, there are significant uncertainties in the implementation of such prediction, including different behaviors caused by agent-agent interaction and driving styles of drivers. While prototype trajectories can serve as a means to represent typical motion patterns and enhance trajectory prediction performance, their utilization in modeling motion patterns tends to overlook the influence of agent-agent interactions and vehicle dynamics. This paper proposes a fusion algorithm that considers driving style and vehicle dynamics to address these uncertainties. The algorithm involves a long short-term memory (LSTM) lane change behavior recognition model that mines key features of agent-agent interaction through the attention mechanism. The Gaussian process (GP) motion modeling trajectory prediction (GPMM-TP) algorithm considers the driving style of the prototype trajectory based on the behavior recognition results. To further improve short-term and long-term prediction, the interactive multi-model (IMM) algorithm is used to assign probability weights to the GP model and the Extended Kalman Filter (EKF) model based on prediction accuracy, taking into account the driving styles and the vehicle dynamics. The proposed algorithm provides a promising approach to improving the accuracy of lane change trajectory prediction for AVs, and its effectiveness is demonstrated using the HighD dataset. © 2023, The Authors. All rights reserved.

关键词： Behavioral research

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Clustering and Equivalent Modeling Method for Direct-Drive Wind Farms Based on Particle Swarm Neural Network 4

Clustering and Equivalent Modeling Method for Direct-Drive W...

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4th International Conference on Energy, Power and Electrical Engineering, EPEE 2024

作者： Tu, Liang Huang, Libin Guo, Haiping Hu, Binjiang Zhang, Jingyue Luo, Hui State Key Laboratory of Hvdc Electric Power Research Institute China Southern Power Grid Guangzhou China National Energy Power Grid Technology R&d Centre China Southern Power Grid Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System China Southern Power Grid Guangzhou China Csg Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China National Energy Power Grid Technology R&d Centre Guangzhou China

ISBN: (纸本)9798331518066

In the realm of large-scale integration of wind farms or clusters into power grids, the fault transient characteristics of these grids have experienced significant transformations. Unfortunately, the prevalent single-machine equivalent models are inadequate in accurately depicting the fault transient behavior of wind farms or clusters. Moreover, their simulation computations are exceedingly intensive, resulting in suboptimal simulation efficiency. To address these challenges, this paper introduces a clustering and equivalent modeling approach tailored for direct-drive wind farms, leveraging the capabilities of a particle swarm neural network. Initially, a transient model for direct-drive wind turbines is formulated, and fault characteristic influence factors are established through theoretical analysis. These factors encompass the distance between the wind turbine and the point of common coupling (PCC), the implementation of DC-side current limiting measures, wind speed, and reactive power at the outlet. Following this, the Euclidean distance of the influence factor set is computed, and the initial cluster centers of wind turbines are derived using an enhanced max-min distance method. Ultimately, an equivalent clustering model is formulated by utilizing the influence factors and initial cluster centers as the training set. simulation outcomes reveal that, in comparison to the single-machine equivalent model, this method enhances simulation efficiency by a range of 62% to 67% and reduces the steady-state error in fault current simulation by 0.8% to 1.9%. © 2024 IEEE.

关键词： Windmill

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