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Equivalent input disturbance-based load frequency control for smart grid with air conditioning loads

Science China(Information Sciences) 2022年第2期65卷 106-123页

作者： Li JIN Yong HE Chuan-Ke ZHANG Xing-Chen SHANGGUAN Lin JIANG Min WU School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Department of Electrical Engineering and Electronics University of Liverpool Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

Integrating intermittent wind power into power systems results in low or zero inertia, threatening their frequency stability. To accommodate intermittent generations, the demand response(DR) is introduced, and air conditioning loads(ACs) account for an increasing proportion of all loads. The replacement of traditional generators with wind turbines and the ACs user uncertainties produce parameter uncertainties. This paper aims to construct an equivalent input disturbance(EID)-based load frequency control(LFC) strategy for the power system by considering wind power and ACs. First, an open-loop model is constructed for the LFC scheme with parameter uncertainties. Then, the parameter uncertainties and external disturbance are lumped into a fictitious disturbance, which is estimated using an EID *** incorporating the estimation of disturbance into the control input, the disturbance-rejection performance is achieved. Next, the Lyapunov theory is used to derive the two linear-matrix-inequality-based asymptotic stability criteria. A design algorithm is developed for the EID-based LFC scheme by exploiting an overall performance evaluation index. Finally, simulation results for the single-area and two-area LFC schemes show that, compared with the existing approaches, the method presented realizes the better disturbance rejection and higher robustness against parameter uncertainties, wind power fluctuation, and tie-line power ***, its robustness to time delays is verified.

关键词： equivalent input disturbance load frequency control parameter uncertainties wind power air conditioning loads

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Cooperative control Strategy for Virtual Inertia Based on Fuzzy control 8

Cooperative Control Strategy for Virtual Inertia Based on Fu...

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8th International Conference on control Science and systems Engineering, ICCSSE 2022

作者： Gao, Zhimin Cao, Yongji Zhang, Hengxu Qin, Hao Zhang, Xiaoning Li, Changgang Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education Shandong University Jinan China Technical University of Denmark Department of Electrical Engineering Kgs. Lyngby Denmark School of Control and Computer Engineering North China Electric Power University Beijing China

ISBN: (纸本)9781665484138

The large-scale integration of renewable energies brings about low inertia characteristics to the power system, and the frequency security faces greater challenges. The existing inertia research lacks the synergy between different types of inertia sources and different control methods, and the inertia response capability of power system still can be improved. In this paper, with the aim of proposing a virtual inertia cooperative control strategy for the power system with high penetration of renewable energies, we analyze the virtual inertia mechanisms of wind power, PV units and energy storage system (ESS), and propose control methods for wind power and PV units to participate in inertia response. Considering the reason of limited inertia response capability of renewable energy units, the fuzzy control is used to make the ESS participate in inertia compensation to improve the frequency response capability. Finally, case study is carried out to verified the effectiveness of the proposed control strategy. © 2022 IEEE.

关键词： Fuzzy control

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A Multimodal Fault Diagnosis Model Utilizing GAF Transformation for controllable Pitch Propeller Hydraulic system

A Multimodal Fault Diagnosis Model Utilizing GAF Transformat...

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International Conference on control, decision and Information Technologies (CoDIT)

作者： Huihuang Cai Wei Chen Huanglong Fu Hua Wang Jingcheng Wang Department of Automation Key Laboratory of System Control and Information Processing Ministry of Education of China and Shanghai Engineering Research Center of Intelligent Control and Management Shanghai Jiao Tong University Shanghai China Shanghai Marine Equipment Research Institute Shanghai China Department of Automation the Key Laboratory of System Control and Information Processing Ministry of Education of China and the Shanghai Engineering Research Center of Intelligent Control and Management Shanghai Jiao Tong University Shanghai China Autonomous Systems and Intelligent Control International Joint Research Center Xi'an Technological University Xi'an China

ISBN: (数字)9798350373974

ISBN: (纸本)9798350373981

The hydraulic system of the controllable pitch propeller (CPP) serves as the power source for adjusting the blade pitch. Due to its structural complexity and harsh operating conditions, any malfunction of this system could significantly impair the vessel's navigation. Apart from the pitch command and the pitch feedback of CPP itself, the number and types of sensors added for fault diagnosis are not fixed. Therefore, this study establishes a multimodal fault diagnosis model based on Gramian angular field(GAF). By considering the deviation values of pitch feedback and pitch command as key variables, this model transforms them into a two-dimensional image using GAF, thereby obtaining more effective feature information. Image features are extracted using ResNet, while the temporal features of additional sensors are extracted using GRU. Finally, a multi-head attention mechanism is employed for feature fusion. This method achieves a classification accuracy of 100% in the classification of four types of hydraulic system faults simulated on the experimental platform.

关键词： Fault diagnosis Propellers Navigation Hydraulic systems Transforms Sensor phenomena and characterization Feature extraction Sensor systems Marine vehicles Load modeling

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A Practical Reference Network Planning Model Based on Load Moment and Acceptable Range

A Practical Reference Network Planning Model Based on Load M...

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Power Science and Technology (ICPST), IEEE International Conference on

作者： Jianjie Li Wentao Zhong Mingliang Mu Jialiang Wang State Grid Shandong Province Power Company Binzhou Power Supply Company Binzhou China Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China

ISBN: (数字)9798350349030

ISBN: (纸本)9798350349047

There is a big gap between theoretical research and practical application of reference network planning. Most of the existing planning models in academic research take cost as the objective function. Although various advanced models and methods are proposed based on this, they are rarely applied in actual power companies. In this paper, a new reference network planning model is proposed according to the actual demand. According to the field investigation, "power supply to the nearest load" is taken as the goal, and the load moment is expressed analytically. In order to meet the increasing demand of renewable energy integrating into the power grid, the concept of acceptable disturbance range is added to the model constraint to improve the system's absorption capacity of renewable energy. Finally, the N-1 security constraint is considered to improve the reliability of the model. The model is transformed into a mixed integer linear programming (MILP)problem by priority objective programming method and can be solved with mature commercial solvers. The validity of the model is verified by IEEE-RTS24 node system. When N-1 safety constraints are taken into account, the advantages of the proposed model become apparent, with a total cost reduction of about 2.5%.

关键词： Renewable energy sources Costs Power supplies Biological system modeling Programming Minimization Planning

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Fast Transient Voltage Stability Assessment for complex Receiving-End Power Grid

Fast Transient Voltage Stability Assessment for Complex Rece...

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IEEE International Conference on Power and Energy Applications (ICPEA)

作者： Xiyang Liu Tianhao Liu Yutian Liu Zhendong Li Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China Laiwu Power Supply Company State Grid Shandong Electric Power Company Laiwu China

ISBN: (数字)9798350356113

ISBN: (纸本)9798350356120

The continuous increase of new energy generation and AC-DC interconnection make the transient voltage stability of the receiving-end power grid more and more complicated. In order to realize the rapid assessment of transient voltage stability, a one-dimensional Convolutional Neutral Network (CNN) for transient voltage stability assessment (TVSA) is constructed by selecting the features reasonably on the basis of using the Agglomerative Hierarchical Clustering (AHC) algorithm to partition the receiving-end grid. In order to enhance the assessment work, the Gradient-weighted Class Activation Mapping (Grad-CAM) algorithm is utilized to find out the concerns of the model to features, and the model knowledge of the neural network is analyzed on the basis of surveying on a large number of samples. Based on the transient voltage stability mechanism and the concerns of deep learning model, the factors that cause transient voltage instability are analyzed. The effectiveness of the proposed method is demonstrated by the case study of a provincial grid in eastern China.

关键词： Knowledge engineering Analytical models Voltage Power system stability Stability analysis Power grids Partitioning algorithms Convolutional neural networks Transient analysis Voltage control

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Consensus of Linear Multi-agent systems with Pure Relative Output Through Fully Distributed Reduced-Order Protocols

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IFAC-PapersOnLine 2023年第2期56卷 10162-10167页

作者： Yuwen Ma Xianwei Li Shaoyuan Li Department of Automation Shanghai JiaoTong University Shanghai 200240 China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai 200240 China

This paper considers fully distributed adaptive control for linear multi-agent systems with pure relative output information only. Two reduced-order protocols, namely, an edge-based protocol and a node-based protocol, are derived. For the edge-based protocol, each edge is adapted by a coupling weight which depends only on relative output information of the associated two agents, while the coupling weight in the node-based protocol is based on the relative output information of all neighboring agents. Sufficient conditions for the solvability of the consensus problem under the two protocols are derived. Compared with most of the existing related protocols, the main merits of the protocols are that only relative output information is needed, which helps reduce the communication burdens and protect the multi-agent systems from network attacks, and that the protocols are fully distributed. A simulation example is finally presented to illustrate the effectiveness of the proposed protocols.

关键词： Multi-agent systems consensus pure relative output fully distributed design

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Resilience-Oriented Power Transmission system Restoration Considering Cyber and Physical Equipment Damage Based on Monte Carlo Tree Search and Milp

SSRN

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SSRN 2024年

作者： Sun, Runjia Liu, Yutian Gu, Xueping Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan250061 China Department of Electrical Engineering North China Electric Power University Baoding071003 China

Efficient power transmission system restoration after natural disasters contributes to power system resilience enhancement and reliable power energy supply. The destruction of cyber and physical equipment caused by natural disasters leads to complex and unpredictable power outages. To deal with power outages with cyber and physical equipment damage, an online collaborative decision-making method coordinating damage repair and restoration dispatch is proposed for rapid power transmission system restoration. Reinforcement learning and mathematical programming are combined to realize domain knowledge-guided intelligent search for effective decision-making. Firstly, a collaborative decision-making framework is established to guide online coordination between damage repair and restoration dispatch for the unified goal of resilience enhancement. Secondly, to make damage repair plans based on real-time information, an online decision-making method combining Monte Carlo tree search with mixed-integer linear programming is proposed considering the influence of damage repair on restoration dispatch. Thirdly, to make restoration dispatch plans based on real-time information, model predictive control is adopted for online rolling optimization of restoration dispatch, which considers the change of cyber and physical equipment status caused by damage repair. Finally, simulation results of the New England 10-unit 39-bus test system and a practical transmission system in China demonstrate that the collaborative decision-making method can make power transmission system restoration plans by juggling the restoration efficiency and computation speed and deal with uncertain repair emergencies by online step-by-step decision-making. © 2024, The Authors. All rights reserved.

关键词： Restoration

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A Data-Driven Based Blind Path Recognizing and Tracking control Strategy for a Guided Quadruped Robot

A Data-Driven Based Blind Path Recognizing and Tracking Cont...

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Data Driven control and Learning systems (DDCLS)

作者： Shida Liu Yunlong Sun Honghai Ji Li Wang School of Electrical and Control Engineering North China University of Technology Beijing People's Republic of China Key Laboratory of Marine Intelligent Unmanned Swarm Technology and System (Shanghai University) Ministry of Education

ISBN: (数字)9798350361674

ISBN: (纸本)9798350361681

This study addresses the motion control issues of a guiding quadruped robot and proposes a novel data-driven approach for blind path recognition and tracking. The proposed approach consists of two parts, including blind path recognition and robot tracking control. In terms of visual principles, the guiding quadruped robot identifies blind paths based on color using the Otsu threshold segmentation algorithm, combined with Canny edge detection and Hough transform for precise positioning of the blind path. Next, this study presents a model-free adaptive control method utilizing a dynamic linearization technique to follow the identified blind path. The controller is configured with a pseudo partial derivative (PPD) parameter. The proposed method enables accurate recognition and tracking of blind paths by the robot, thereby achieving precise following of blind paths by the guiding quadruped robot. The control aspect of the proposed method relies on a model-free strategy, eliminating the requirement to establish an exact mathematical model of the guiding robot during the controller design process. Instead, the controller can be achieved solely using input and output data of the robot. The proposed method was applied to a real guiding quadruped robot experimental platform, and the experimental results demonstrated a 96.24% accuracy in blind path recognition and an average deviation angle of 0.17 degree in tracking control. The effectiveness of this approach has been validated.

关键词： Visualization Accuracy Tracking Robot control Process control Transforms Mathematical models

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A New Image Quality Database for Multiple Industrial Processes

arXiv

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arXiv 2024年

作者： Ma, Xuanchao Jiang, Yanlin Liu, Hongyan Zhou, Chengxu Gu, Ke Faculty of Information Technology Beijing University of Technology Beijing China Engineering Research Center of Intelligent Perception and Autonomous Control Ministry of Education Beijing Laboratory of Smart Environmental Protection China Beijing Key Laboratory of Computational Intelligence and Intelligent System China Beijing Artificial Intelligence Institute China School of Electronic & Information Engineering Liaoning University of Technology Liaoning China Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University of Technology China

Recent years have witnessed a broader range of applications of image processing technologies in multiple industrial processes, such as smoke detection, security monitoring, and workpiece inspection. Different kinds of distortion types and levels must be introduced into an image during the processes of acquisition, compression, transmission, storage, and display, which might heavily degrade the image quality and thus strongly reduce the final display effect and clarity. To verify the reliability of existing image quality assessment methods, we establish a new industrial process image database (IPID), which contains 3000 distorted images generated by applying different levels of distortion types to each of the 50 source images. We conduct the subjective test on the aforementioned 3000 images to collect their subjective quality ratings in a well-suited laboratory environment. Finally, we perform comparison experiments on IPID database to investigate the performance of some objective image quality assessment algorithms. The experimental results show that the state-of-the-art image quality assessment methods have difficulty in predicting the quality of images that contain multiple distortion types. Copyright © 2024, The Authors. All rights reserved.

关键词： Database systems

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Magnetically Driven Soft Continuum Microrobot for Intravascular Operations in Microscale

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Cyborg and Bionic systems 2022年第1期2022卷 265-272页

作者： Dan Liu Xiaoming Liu Zhuo Chen Zhaofeng Zuo Xiaoqing Tang Qiang Huang Tatsuo Arai Key Laboratory of Biomimetic Robots and Sytems Ministry of EducationState Key Laboratory of Ielligent Control and Decision.of Complex SystemBeijing Advanced Innovation Center for Itelligent Robots and Systemsand School of Mechatronical EngineeringBeijing Institute of TechnologyBejing 100081China Center for Neuroscience and Biomedical Engineering The University of Electro-CommunicationsTokyo 1828585Japan

Remotely controlled soft continuum robots with active steering capability have broad prospects in medical ***,conventional continuum robots have the miniaturization *** paper presents a microscale soft continuum microrobot with steering and locomotion capabilties based on magnetic field *** magnetically driven soft continuum microrobot is made of NdFeB particles and polyd imethylsiloxane(PDMS),and it can be as small as 200 pum in ***,a hydrogel layer is covered on the surface of the microrobot,which not only overcomes the adhesion force between the microobjects and the soft tip but also reduces the friction between the microrobot and *** performance test indicates the soft continuum microrobot featured excellent control and steering *** experimental results demonstrate that the soft continuum microrobot can travel through the microfluidic channel by its own vibration and flexibly steer in a bifurcation ***,the micromanipulation of microbeads in the microfluidic channels proves that the proposed microscale soft continuum microrobot has a great potential for intravascu lar manipu lation.

关键词： friction robot overcome

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