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Investigating the impacts of spatial-temporal variation features of air density on assessing wind power generation and its fluctuation in China

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Science China(Technological Sciences) 2023年第6期66卷 1797-1814页

作者： REN GuoRui WANG Wei WAN Jie HONG Feng YANG Ke YU DaRen School of Control and Computer Engineering North China Electric Power UniversityBeijing 102206China School of Electrical Engineering and Automation Harbin Institute of TechnologyHarbin 150001China Xi’an Thermal Power Research Institute Co. Ltd.Xi’an 710054China School of Energy Science and Engineering Harbin Institute of TechnologyHarbin 150001China

Air density plays an important role in assessing wind *** density significantly fluctuates both spatially and *** literature typically used standard air density or local annual average air density to assess wind *** present study investigates the estimation errors of the potential and fluctuation of wind resource caused by neglecting the spatial-temporal variation features of air density in *** air density at 100 m height is accurately calculated by using air temperature,pressure,and *** spatial-temporal variation features of air density are firstly *** the wind power generation is modeled based on a 1.5 MW wind turbine model by using the actual air density,standard air densityρst,and local annual average air densityρsite,***ρstoverestimates the annual wind energy production(AEP)in 93.6%of the study *** significantly affects AEP in central and southern China *** more than 75%of the study area,the winter to summer differences in AEP are underestimated,but the intra-day peak-valley differences and fluctuation rate of wind power are ***ρsitesignificantly reduces the estimation error in *** AEP is still overestimated(0-8.6%)in summer and underestimated(0-11.2%)in *** for southwest China,it is hard to reduce the estimation errors of winter to summer differences in AEP by usingρ***ρsitedistinctly reduces the estimation errors of intra-day peak-valley differences and fluctuation rate of wind power,but these estimation errors cannot be ignored as *** impacts of air density on assessing wind resource are almost independent of the wind turbine types.

关键词： air density spatial-temporal variation power curve wind resource assessment fluctuation ERA-5

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Optimal control Synthesis of Markov Decision Processes for Efficiency with Surveillance Tasks 63

Optimal Control Synthesis of Markov Decision Processes for E...

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63rd IEEE Conference on Decision and control, CDC 2024

作者： Chen, Yu Yin, Xuanyuan Ye, Hao Li, Shaoyuan Yin, Xiang Shanghai Jiao Tong University Department of Automation and Key Laboratory of System Control and Information Processing Shanghai200240 China Nanyang Technological University School of Chemistry Chemical Engineering and Biotechnology Singapore Tsinghua University Department of Automation China

ISBN: (纸本)9798350316339

We investigate the problem of optimal control synthesis for Markov Decision Processes (MDPs), addressing both qualitative and quantitative objectives. Specifically, we require the system to fulfill a qualitative surveillance task in the sense that a specific region of interest can be visited infinitely often with probability one. Furthermore, to quantify the performance of the system, we consider the concept of efficiency, which is defined as the ratio between rewards and costs. This measure is more general than the standard long-run average reward metric as it aims to maximize the reward obtained per unit cost. Our objective is to synthesize a control policy that ensures the surveillance task while maximizes the efficiency. We provide an effective approach to synthesize a stationary control policy achieving -optimality by integrating state classifications of MDPs and perturbation analysis in a novel manner. Our results generalize existing works on efficiency-optimal control synthesis for MDP by incorporating qualitative surveillance tasks. © 2024 IEEE.

关键词： Markov processes

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FTEKFNet: Hybridizing Physical and Data-driven Estimation Algorithms for Vehicle State

IEEE Transactions on Intelligent Vehicles

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IEEE Transactions on Intelligent Vehicles 2024年 1-11页

作者： Wang, Yan Hu, Fengqing Tian, Cheng Li, Panshuo Huang, Hailong Yin, Guodong Huang, Chao Department of Industrial and System Engineering The Hong Kong Polytechnical University Hong Kong Department of Aeronautical and Aviation Engineering The Hong Kong Polytechnical University Hong Kong School of Automation and the Guangdong Provincial Key Laboratory of Intelligent Decision and Cooperative Control Guangdong University of Technology Guangzhou China School of Mechanical Engineering Southeast University Nanjing China

Sideslip angle and vehicle velocity are crucial for both traditional and autonomous vehicles. They play essential roles in chassis stability control, as well as in tasks such as path planning and tracking control. However, these states cannot be directly measured by onboard sensors, therefore various vehicle state estimation algorithms have been developed. Most of these algorithms assume that the noise characteristics are known, ignoring the impact of missing measurement data, and cannot simultaneously handle the effects of colored noise and white noise. To address these issues, we propose a fault-tolerant extended Kalman filter network (FTEKFNet), which integrates both physics-based and data-driven methods for vehicle state estimation. Based on the Fault Tolerant Extended Kalman Filter (FTEKF) iterative framework, a pre-trained artificial neural network is utilized to directly predict the Kalman gain, and it is combined with FTEKF to form FTEKFNet. Experimental results under different conditions demonstrate that FTEKFNet can simultaneously deal with unknown noise and data loss problems and has good adaptability to color noise. The estimation performance of the proposed algorithm is better than the traditional FTEKF and EKF methods. IEEE

关键词： Extended Kalman filters

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Review of Operation and control of the New Energy Storage Isolated Network Systems 4th

Review of Operation and Control of the New Energy Storage Is...

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4th International Symposium on Insulation and Discharge Computation for Power Equipment, IDCOMPU 2023

作者： He, Xianqiang Zhao, Weixing Cao, Fei Ma, QinFeng Liu, Mingshun Qin, Hai Pu, Qingxin Sun, Yudong Guizhou Power Grid Co. Ltd. Electric Dispatching and Control Center Guiyang550000 China Beijing Sifang Protection and Automation Engineering Technology Co. Ltd Beijing100044 China School of Electrical Engineering and Automation Wuhan University Wuhan430000 China

ISBN: (纸本)9789819973927

With the rapid development of distributed power generation technology and microgrid technology, research on the operation and control of new energy storage isolated network systems has received widespread attention. Compared with grid-connected operation, isolated operation can improve the acceptance and application of new energy, increase the flexibility of power grid operation, and solve the problem of difficulty in long-distance transmission in remote areas, which is an important application form and development trend of future new energy. This article reviews the latest progress in the operation and control of new energy storage isolated network systems. The key technologies for the operation and control are analyzed, general methods for the operation and control strategy of are given, and future technology development trends are predicted and discussed. © 2024, Beijing Paike Culture Commu. Co., Ltd.

关键词： Relay protection

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Video Stabilization using RAFT-based Optical Flow

Video Stabilization using RAFT-based Optical Flow

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2023 International Conference on Robotics and automation in Industry, ICRAI 2023

作者： Ashar, Rana Sadiq, Burhan Mohiuddin, Hira Ashraf, Saniya Imran, Muhammad Ullah, Anayat Control Automotive and Robotics Lab National Centre of Robotics and Automation Rawalpindi Pakistan Balochistan University of IT Engineering and Management Sciences Department of Electronic Engineering Quetta Pakistan

ISBN: (纸本)9781665464727

Video Stabilization is the basic need for modern-day video capture. Many methods have been proposed throughout the years including 2D and 3D-based models as well as models that use optimization and deep neural networks. This work describes the implementation of cutting-edge Recurrent All-Pairs Field Transforms (RAFT) for optical flow estimation in video stabilization. we use a pipeline that accommodates the large motion. It then passes the results to the optical flow for better accuracy. After that, it satisfies the inaccuracies of the optical flow and makes it robust to occlusion, Parallax, and moving objects. Our approach yields better results (visually and quantitatively) compared to other optimization and deep learning-based visual stabilization techniques. © 2023 IEEE.

关键词： Geometrical optics

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Time-scheduled observer design for switched linear systems with unknown inputs

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Science China(Information Sciences) 2022年第7期65卷 265-266页

作者： Shuang SHI Zhongyang FEI Xudong ZHAO College of Automation Engineering Nanjing University of Aeronautics and Astronautics Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University of Technology

Dear editor, Since uncertain disturbance, actuator faults and unmodeled dynamics can all be viewed as unknown inputs in various practical systems, the issue of unknown input observer design is of great significance. Meanwhile, switched systems have attracted extensive attention, which are prevailingly motivated by superior capabilities in modeling numerous practical systems possessing switching characteristics. Recently, the state observation for switched systems with unknown inputs has attracted considerable attention [1–5].

关键词： switched linear systems unknown inputs admissible edge-dependent average dwell-time multiple discontinuous Lyapunov-like functions observer design

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A Day-Ahead Market Clearing Model Under System Inertia Constraints 16

A Day-Ahead Market Clearing Model Under System Inertia Const...

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16th IEEE PES Asia-Pacific Power and Energy engineering Conference, APPEEC 2024

作者： Ma, Yuting Jin, Jiangliang Hao, Liangliang Huang, Qisheng Shen, Liye College of Information Scienc and Technology Donghua University Shanghai China Shandong University Department of Control Science and Engineering Shandong China School of Mechanical Engineering and Automation Harbin Institute of Technology Shanghai China

ISBN: (纸本)9798350386127

We study the market clearing model for electric energy, inertia, and reserve in the day-ahead market, with a particular focus on the virtual inertia provided by wind units. In this paper, we consider synchronous inertia and virtual inertia as sources of system inertia. We incorporate system inertia constraints into the unit commitment (UC) and the economic dispatch (ED) models, and assign economic value to virtual inertia, so as to incentivize wind power to provide virtual inertia. Numerical results demonstrate that the proposed model enhances the participation of wind power units, increases the wind utilization rate and reduces the total costs. © 2024 IEEE.

关键词： Wind power

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Electrocardiogram Signal Secure Transmission via a Wireless Communication Protocol of Chaotic Systems Based on Adaptive Sliding Mode control and Disturbance Observer

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IEEE Access 2023年 11卷 145373-145385页

作者： Chien Le, Minh Giap, Van Nam Nguyen, Quang Dich Huang, Shyh-Chour Hanoi University of Science and Technology School of Electrical and Electronic Engineering Hanoi100000 Viet Nam Institute for Control Engineering and Automation Hanoi University of Science and Technology Hanoi100000 Viet Nam National Kaohsiung University of Science and Technology Department of Mechanical Engineering Kaohsiung807618 Taiwan

This paper presents a new application of the encryption and decryption techniques for securing the electrocardiogram (ECG) signal. The secure communication system (SCS) is embedded two Chen chaotic systems with different initial conditions, which were named master and slave, respectively. An ECG signal is encrypted by using master chaotic system. Which can be sent to the far destination to serving the heath care monitoring process. To obtain the original data, the state of the slave system is used to decrypt the signal. To obtain the goal, the master and slave need to be synchronized. Therefore, to softening the calculation of synchronization control design, the Takagi-Sugeno fuzzy (TSF) was used to remodel the master and slave into the fuzzy format, which are consists of the sublinear systems and fuzzy outer membership functions. Second, the disturbance observer (DOB) was proposed on slave system, which is used to reject the parameters variations and disturbances during the transmission. Third, the sliding mode control (SMC) was designed to synchronize the master and slave systems. Fourth, the stability of SCS is proved based on the Lyapunov condition. Finally, the simulation by using MATLAB software on computer and experiment by using the WIFI microchip ESP8266 were provided to show the power of the proposed methods. © 2013 IEEE.

关键词： Time domain analysis

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Design of a Set Prediction Based Oriented Detector for Specialty Paper Making Fiber Identification 5

Design of a Set Prediction Based Oriented Detector for Speci...

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5th International Conference on Artificial Intelligence and Electromechanical automation, AIEA 2024

作者： Hua, Citao Liu, Yiqi South China University of Technology School of Automation Science and Engineering Guangdong Guangzhou China South China University of Technology National Engineering Research Center of Papermaking and Pollution Control Guangdong Guangzhou China

ISBN: (纸本)9798350366174

Proper orientation detection of paper making fiber is an important task for quality monitoring and control in specialty paper production. However, the slender nature of the fiber objects and their dense and interlaced distribution in the paper production make it impossible for a general-purpose oriented detector to accurately detect all fibers accurately. In this paper, we propose a two-stage rotated object detection method, termed Set Oriented Detector, which is able to cope with oriented detection scenarios where the detection target is dense, slender and interlaced distribution. Firstly, we propose the Set Oriented Region Proposal Network, which can make set predictions by generating set proposal for a single anchor and uses Set Oriented Non-Maximum Suppression to obtain dense oriented proposals. Secondly, we employ a bounding box to enhance the edge offset method in the second stage to further improve the detection accuracy for slender targets. Finally, we conduct experiments and evaluations on a specialty paper fiber dataset, demonstrating that our method can effectively improve the detection accuracy of dense, slender and interlaced distributed fiber targets. © 2024 IEEE.

关键词： Computer vision Dense detection Oriented detector Set prediction Slender detection

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High-speed train positioning based on a combination of Beidou navigation, inertial navigation and an electronic map

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Science China(Information Sciences) 2023年第7期66卷 237-252页

作者： Hui YANG Shuai-Qiang DONG Chun-Hua XIE School of Electrical and Automation Engineering East China Jiaotong University Key Laboratory of Advanced Control & Optimization of Jiangxi Province East China Jiaotong University State Key Laboratory of Performance Monitoring Protecting of Rail Transit Infrastructure East China Jiaotong University

To date, the studies on the combination positioning of high-speed trains have made great progress, but the positioning accuracy of these methods is relatively low. Map-matching positioning can improve positioning accuracy, but information transmission is time-consuming. Few studies incorporate it into combination positioning. To solve the problem, this paper proposes a high-speed train positioning method based on combining a Beidou navigation system, an inertial navigation system, and an electronic map. First, the combination positioning problem is transformed into a multi-objective optimization problem, which weights the direction similarity and distance error to form a fitness function and converts the railway line and the maximum error range of each positioning system into constraints. Second, an improved differential evolution algorithm is proposed to solve this problem. By referencing the gray wolf algorithm,the differential evolution algorithm updates individuals by varying toward the direction of multiple optimal values. Then, a new combination positioning algorithm for high-speed trains is proposed. In the simulation,the increase in positioning speed and accuracy is analyzed and validated. Compared to the current algorithms, the proposed algorithm performs better. The proposed method has practical value for improving the reliability and safety of train operations.

关键词： electronic map multi-objective optimization differential evolution algorithm Beidou navigation system high-speed train positioning

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