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Demand-side Management Based on Model Predictive control in Distribution Network for Smoothing Distributed Photovoltaic Power Fluctuations

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Journal of Modern Power Systems and Clean Energy 2022年第5期10卷 1326-1336页

作者： Jian Xu Haobo Fu Siyang Liao Boyu Xie Deping Ke Yuanzhang Sun Xiong Li Xiaotao Peng IEEE School of Electrical Engineering and Automation Wuhan UniversityWuhan 430072China Power Dispatching and Control Center of State Grid Jibei Electric Power Company Limited Bejing 100054China

With the rapid increase of distributed photovoltaic(PV) power integrating into the distribution network(DN), the critical issues such as PV power curtailment and low equipment utilization rate have been caused by PV power fluctuations. DN has less controllable equipment to manage the PV power fluctuation. To smooth the power fluctuations and further improve the utilization of PV, the regulation ability from the demandside needs to be excavated. This study presents a continuous control method of the feeder load power in a DN based on the voltage regulation to respond to the rapid fluctuation of the PV power output. PV power fluctuations will be directly reflected in the point of common coupling(PCC), and the power fluctuation rate of PCCs is an important standard of PV ***, a demand-side management strategy based on model predictive control(MPC) to mitigate the PCC power fluctuation is proposed. In pre-scheduling, the intraday optimization model is established to solve the reference power of PCC. In real-time control, the pre-scheduling results and MPC are used for the rolling optimization to control the feeder load demand. Finally,the data from the field measurements in Guangzhou, China are used to verify the effectiveness of the proposed strategy in smoothing fluctuations of the distributed PV power.

关键词： Demand-side management multi-time-scale optimization power fluctuation smoothing load control model predictive control(MPC)

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Synchronization and Stability of a Nonlinear Vibrating Mechanical System Characterized by Asymmetrical Piecewise Linearity

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Chinese Journal of Mechanical engineering 2022年第6期35卷 298-311页

作者： Xueliang Zhang Zhenmin Li Wenchao Hu Bangchun Wen School of Mechanical Engineering and Automation Northeastern UniversityShenyang 110819China Key Laboratory of Vibration and Control of Aero‑Propulsion Systems Ministry of Education of China Northeastern UniversityShenyang 110819China

In previous studies about the synchronization of vibrators,the restoring forces of springs are mainly treated as linear directly,whereas the nonlinear features are rarely considered in vibrating *** make up this drawback,a dynamical model of a nonlinear vibrating mechanical system with double rigid frames(RFs),driven by two vibrators,is proposed to explore the synchronization and stability of the *** this paper,the nonlinearity is reflected in nonlinear restoring forces of springs characterized by asymmetrical piecewise linear,where the nonlinear stiffness of springs is linearized equivalently using the asymptotic *** on the average method and Hamilton’s principle,the theory conditions to achieve synchronization and stability of two vibrators are *** the theory analyses,some numerical qualitative analyses are given to reveal the coupling dynamical characteristics of the system and the relative motion properties between two ***,some experiments are carried out to examine the validity of the theoretical results and the correctness of the numerical analyses *** on the comparisons of the theory,numeric and experiment,the ideal working regions of the system are *** on the present work,some new types of vibrating equipment,such as vibrating discharging centrifugal dehydrators/conveyers/screens,can be designed.

关键词： Synchronization Stability Nonlinear vibrating system Vibrators Asymmetrical piecewise linearity

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Nonlinear vibration analysis of pipeline considering the effects of soft nonlinear clamp

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Applied Mathematics and Mechanics(English Edition) 2022年第10期43卷 1555-1568页

作者： Weijiao CHEN Yiming CAO Xumin GUO Hui MA Bangchun WEN Bo WANG School of Mechanical Engineering and Automation Northeastern UniversityShenyang110819China Key Laboratory of Vibration and Control of Aero-Propulsion Systems Ministry of Education of China Northeastern UniversityShenyang110819China

Soft nonlinear support is a major engineering project,but there are few relevant *** this paper,a dynamic pipeline model with soft nonlinear supports at both ends is *** considering the influence of the Coriolis force and centrifugal force,the dynamical coupling equation of fluid-structure interaction is derived with extended Hamilton’s ***,the approximate analytical solutions are sought via the harmonic balance *** amplitude-frequency response curves show that different effects can be determined by approximate *** is demonstrated that the increase in the fluid velocity can increase the amplitude of the pipeline *** frequency range of unstable response increases when the fluid pressure *** combination of the soft nonlinear clamp and the large geometrical deformation of the pipeline affects the nonlinear vibration characteristic of the system,and the external excitation force and damping have significant effects on the stability.

关键词： clamp soft nonlinear support harmonic balance method fluid-structure interaction pipeline vibration analysis

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Position Errors and Interference Prediction-Based Trajectory Tracking for Snake Robots

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IEEE/CAA Journal of Automatica Sinica 2023年第9期10卷 1810-1821页

作者： Dongfang Li Yilong Zhang Ping Li Rob Law Zhengrong Xiang Xin Xu Limin Zhu Edmond Q.Wu IEEE School of Electrical Engineering and Automation Fuzhou UniversityFuzhou 350108 the Sino-US Global Logistics Institute Shanghai Jiao Tong UniversityShanghai 200240 the Key Laboratory for Agricultural Machinery Intelligent Control and Manufacturing of Fujian Education Institutions Fuzhou 350108China School of Biological Science and Medical Engineering and the Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education Beihang UniversityBeijing 100191China University of Macao Macao 999078China School of Automation Nanjing University of Science and TechnologyNanjing 210094China College of Intelligence Science and Technology National University of Defence TechnologyChangsha 410073China School of Mechanical Engineering Shanghai Jiao Tong UniversityShanghai 200240China Department of Automation Shanghai Jiao Tong UniversityShanghai 200240China

This work presents a trajectory tracking control method for snake *** method eliminates the influence of time-varying interferences on the body and reduces the offset error of a robot with a predetermined *** optimized line-of-sight(LOS)guidance strategy drives the robot’s steering angle to maintain its anti-sideslip ability by predicting position errors and ***,the predictions of system parameters and viscous friction coefficients can compensate for the joint torque control *** compensation is adopted to enhance the compatibility of a robot within ever-changing *** and experimental outcomes show that our work can decrease the fluctuation peak of the tracking errors,reduce adjustment time,and improve accuracy.

关键词： Anti-sideslip compensation snake robot trajectory tracking

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Linear active disturbance rejection control of brushless dc motor based on improved gray wolf optimization algorithm 3

Linear active disturbance rejection control of brushless dc ...

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3rd International Conference on Intelligent Mechanical and Human-Computer Interaction Technology, IHCIT 2024

作者： Luo, Peiyue Zhang, Hongxin Tian, Liguo Xie, Ziyang Sun, Miao School of Automation and Electrical Engineering Tianjin University of Technology and Education Tianjin300222 China Tianjin Key Laboratory of Information Sensing & Intelligent Control Tianjin300222 China

ISBN: (纸本)9781510683105

In this paper, an improved gray wolf optimization linear active disturbance rejection control (IGWO-LADRC) had been proposed by improving the grey wolf population initialization, convergence factor, and grey wolf position updating strategy of the traditional grey wolf optimization algorithm. The problems of standard gray wolf optimization algorithm in linear active disturbance rejection control parameters tuning, such as low efficiency of optimization search and easy fall into local optimal solution, had been solved. A brushless DC motor control system based on IGWO-LADRC and a brushless DC motor control system based on gray wolf optimization linear active disturbance rejection control (GWO-LADRC) had been built. The comparison had shown that IGWO-LADRC had a fast optimization-seeking speed, high control accuracy, quick response speed, and strong anti-interference ability. © 2024 SPIE.

关键词： Disturbance rejection

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Optimal Strategy for Aircraft Pursuit-evasion Games via Self-play Iteration

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Machine Intelligence Research 2024年第3期21卷 585-596页

作者： Xin Wang Qing-Lai Wei Tao Li Jie Zhang State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of SciencesBeijing100190China School of Artificial Intelligence University of Chinese Academy of SciencesBeijing100049China Institute of Systems Engineering Macao University of Science and TechnologyMacao999078China

In this paper,the pursuit-evasion game with state and control constraints is solved to achieve the Nash equilibrium of both the pursuer and the evader with an iterative self-play *** the condition where the Hamiltonian formed by means of Pontryagin’s maximum principle has the unique solution,it can be proven that the iterative control law converges to the Nash equilibrium ***,the strong nonlinearity of the ordinary differential equations formulated by Pontryagin’s maximum principle makes the control policy difficult to figured *** the system dynamics employed in this manuscript contains a high dimensional state vector with *** practical applications,such as the control of aircraft,the provided overload is ***,in this paper,we consider the optimal strategy of pursuit-evasion games with constant constraint on the control,while some state vectors are restricted by the function of the *** address the challenges,the optimal control problems are transformed into nonlinear programming problems through the direct collocation ***,two numerical cases of the aircraft pursuit-evasion scenario are given to demonstrate the effectiveness of the presented method to obtain the optimal control of both the pursuer and the evader.

关键词： Differential games pursuit-evasion games nonlinear control optimal control Nash equilibrium solution

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Research on Geospatial Object Recognition Algorithm in Power Transmission and Transformation engineering Based on FIseg-YOLO 1

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8th International Conference on Life System Modeling and Simulation, LSMS 2024 and 8th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2024

作者： Ouyang, Peng Pi, Yufei Zhang, Pengcheng Zhang, Kun School of Electrical Engineering and Automation Nantong University Nantong China Nantong Key Laboratory of Intelligent Control and Intelligent Computing Nantong Institute of Technology Jiangsu Nantong China

ISBN: (数字)9789819603138

ISBN: (纸本)9789819603121

The preliminary work of power transmission and transformation engineering design tasks relies on the precise survey of terrain to ensure the high-quality completion of design tasks. Therefore, developing a technology that can accurately and efficiently survey the construction area has become a hot topic in the field of electrical design research. However, identifying the location and precise boundaries of geospatial targets of different scales and densities from high-resolution natural environment images captured by drones remains a challenge. To address this issue, we improved upon the YOLOv8 algorithm by incorporating the concept of the YOLACT algorithm, proposing a novel instance segmentation algorithm—FIseg-YOLO, specifically designed for recognizing geospatial targets in power transmission and transformation line projects. This algorithm integrates various attention mechanism modules in the backbone network, effectively improving the accuracy of target recognition against complex backgrounds. Simultaneously, we optimized the neck network structure by enhancing the multi-path fusion of the network, achieving multi-level feature fusion between different layers. Additionally, the algorithm adds a multi-scale detection head to the basic network structure to extract shallow information from the input image and combine it with the feature fusion network to detect objects across a broader scale. Experimental validation on the geospatial orthophoto dataset shows that the mAP@.5 of the FIseg-YOLO model reached 67.3%, a 6.6% increase compared to the YOLOv8 base model, indicating a significant improvement in model performance. This improvement is of great significance for enhancing the efficiency of preliminary survey tasks in power transmission and transformation engineering. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Deep learning

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Lightweight Neural Network-Based Infrared Image and Anomalous Heat Region Recognition for Electrical Equipment 18th

Lightweight Neural Network-Based Infrared Image and Anomalou...

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18th Annual Conference of China Electrotechnical Society, ACCES 2023

作者： Han, Zhikai Zhang, Jinglei Jia, Xin School of Electrical Engineering and Automation Tianjin University of Technology Tianjin300384 China Tianjin Key Laboratory of Complex System Control Theory and Application Tianjin300384 China

ISBN: (纸本)9789819710676

In order to accurately and quickly recognize electrical devices and abnormal heating parts under infrared conditions, we propose a lightweight neural network-based method for identifying electrical devices and their abnormal heating parts. First, we construct a fast target detection network for real-time detection. Second, we propose an efficient feature retention module to avoid the feature loss problem in multi-layer convolutional operations. In addition, we introduce an attention mechanism based on the coordinate information interaction strategy to localize the target more accurately. Finally, we use a lightweight weighted bidirectional feature pyramid network to improve the detection accuracy at different scales. Experimental results on a dataset of 12109 electrical infrared images containing six types of electrical devices and anomalously heated areas show that the proposed method achieves good results, with an average recognition accuracy of 93.9% and a processing speed of 222 frames/second. © Beijing Paike Culture Commu. Co., Ltd. 2024.

关键词： Infrared imaging

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A Proposal Of An Iterative Learning control Method For Simulating A Flyback Converter Using PSCAD 9

A Proposal Of An Iterative Learning Control Method For Simul...

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9th International Conference on Applying New Technology in Green Buildings, ATiGB 2024

作者： Cao, Trung Thanh Van, Cuong Trinh Van, Hung Pham Nguyen, Minh Quang Hoang, Anh Hanoi University of Science and Technology School of Electrical and Electronic Engineering Hanoi Viet Nam Ha Noi University of Industry Department of Automation and Control Hanoi Viet Nam

ISBN: (纸本)9798331505042

DC-DC converters are essential components in power supply applications, portable electronics, renewable energy systems, and various other industries. An accurate system model is crucial for the development of the controller for a DC-DC converter. This research study focused on the development of an iterative learning control that operates without requiring the system model. The study employs PSCAD simulation software to simulate and analyze the effectiveness of an iterative learning control and a sliding mode controller for flyback converter. Detailed simulation results and comparisons between the two methodologies will be presented. © 2024 IEEE.

关键词： Sliding mode control

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PITD3-based Autonomous Evasion Decision-making Method for Aircraft 43

PITD3-based Autonomous Evasion Decision-making Method for Ai...

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43rd Chinese control Conference, CCC 2024

作者： Liu, Chang Dou, Liqian Zhang, Ruilong Tang, Yifan Ren, Mengyuan Zhang, Lun School of Electrical Engineering and Automation Tianjin300072 China Beijing Aerospace Automatic Control Institute China Tianjin Aerospace Institute of Computing Technology Tianjin300308 China

ISBN: (纸本)9789887581581

Outstanding autonomous evasion decision-making capability has an important significance for ensuring flight safety and enhancing the autonomy of the aircraft. In this paper, a prediction information-based TD3 (PITD3) evasion decision-making algorithm for aircraft is proposed, which can autonomously evade the interceptors' attack in an antagonistic environment. Firstly, an antagonistic environment is described according to environmental constraints and the dynamics of the aircraft and interceptor. Secondly, the autonomous decision-making process of the aircraft facing the threat target is modelled as a Markov decision process to describe the state information of the aircraft and interceptor. Finally, an autonomous evasion decision-making method based on the twin delayed deep deterministic policy gradient (TD3) is designed to find the optimal strategy, and the effectiveness of the proposed autonomous evasion decision-making method is demonstrated by simulation results and comparative experiments. © 2024 Technical Committee on control Theory, Chinese Association of automation.

关键词： Markov processes

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