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Optimal Scheduling Method of Virtual Power Plant Based on Model Predictive control 3

Optimal Scheduling Method of Virtual Power Plant Based on Mo...

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3rd international conference on Energy, Power and Electrical engineering, EPEE 2023

作者： Ye, Hong Huang, Honghui He, Yan Xu, Min Yang, Yantian Qiao, Yilin Sci-tech Information Branch Jinhua Bada Group Co. Ltd Jinhua China Development Planning Department State Grid Zhejiang Electric Power Co. LTD. Jinhua Power Supply Company Jinhua China None State Grid Shanghai Electric Power Company Economic and Technological Research Institute Shanghai China School of Electrical Engineering Zhejiang University Hangzhou China

ISBN: (纸本)9798350318180

In the environment of high proportion of new energy power system, one of the key points of virtual power plant dispatching is to consider the optimal control of distributed new energy prediction error. In this paper, a multi-time scale rolling optimization scheduling method considering the prediction error of distributed resources is proposed. Firstly, the long and short term neural network prediction method is used to predict the distributed photovoltaic output and the load rate of the communication base station, and then the bidding strategy is formulated on this basis. After the bidding, the decision sequence of each optimization variable within the day is constantly updated by the model based rolling prediction, and the particle swarm optimization algorithm is used to optimize the solution. Example analysis shows that the proposed method can reduce the dispatching cost by 21.47% compared with the theoretical optimal dispatching method, and is suitable for the optimization control of virtual power plant with a high proportion of uncontrollable power or load access. © 2023 IEEE.

关键词： Double time scale High uncertainty Model predictive control Virtual power plant

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3rd international conference on Advanced Research in Technologies, Information, Innovation and Sustainability, ARTIIS 2023

3rd International Conference on Advanced Research in Technol...

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3rd international conference on Advanced Research in Technologies, Information, Innovation and Sustainability, ARTIIS 2023

ISBN: (纸本)9783031488542

The proceedings contain 81 papers. The special focus in this conference is on Advanced Research in Technologies, Information, Innovation and Sustainability. The topics include: Need for Quality Auditing for Screening Computational Methods in Clinical Data Analysis, Including Revise PRISMA Protocols for Cross-Disciplinary Literature Reviews;gamification in Recommendation Systems a Systematic Analysis;object Projection from to in Bachelor’s Degree with GeoGebra;efficacy of Blended Learning in the Teaching of Basic Surgical Skills in Medical Students at a Public University in Peru Between 2018 and 2022;technological Solution to Optimize Outpatient Waiting Time for Medical Care Between Multiple Private Healthcare Institutions – A Preliminary Research;learning for the Empowerment of High School Girl Students;intelligent System Comparing Clustering Algorithms to Recommend Sales Strategies;digitizing Musical Skills in Elementary School with the Use of Instagram;control of Type 1 and 2 Diabetes in Middle-Aged Individuals at Private Clinics in Metropolitan Lima: A Technological Solution Based on Wearables and IoT;Software Quality in the IOT in Health Sector and Commerce Sector;easy-Programming: Towards a Web Collaborating Algorithmic and Programming Aid for Early Apprentices;scheme of the Software engineering Elements that Are Part of the Development of eHealth-Oriented Models and Frameworks;reliable Reputation-Based Event Detection in V2V Networks;new Open Access Interactive Multifunctional Database Management System for Research of Biological Terminology: Technical Solutions;an Optimization Model for the Placement of Mobile Stroke Units;Leveraging Large Language Models for Literature Review Tasks - A Case Study Using ChatGPT;Environmental Impact of Food Products: A Data Analysis Approach Using HJ-Biplot and Clustering;amazlem: The First Amazigh Lemmatizer.

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Selection of urban light pollution mitigation strategies based on reinforcement learning 3

Selection of urban light pollution mitigation strategies bas...

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3rd international conference on Internet of Things and Smart City, IoTSC 2023

作者： Gan, Jinwei Guo, Shimeng Jin, Tian Liu, Tao Yuan, Xiaoming Kong, Weixuan Qiu, Ruofeng Qi, Yunfei School of Computer and Communication Engineering Northeastern University at Qinhuangdao 143 Taishan Road Hebei Qinhuangdao066004 China School of Control Engineering Northeastern University at Qinhuangdao 143 Taishan Road Hebei Qinhuangdao066004 China School of Mathematics and Statistics Northeastern University at Qinhuangdao 143 Taishan Road Hebei Qinhuangdao066004 China School of Electrical and Electronic Engineering Nanyang Technological University 50 Nanyang Avenue Singapore639798 Singapore Eighth Geological Brigade of Hebei Bureau of Geology and Mineral Resources Exploration 221 Yanshan Street Hebei Qinhuangdao066000 China

ISBN: (纸本)9781510666375

This paper considers how best strategies should be chosen to effectively mitigate light pollution situations in cities with different light pollution scenarios. Firstly, a mathematical programming model is used to analyze the light pollution characteristics of four typical areas: protected areas, rural communities, suburban communities and urban communities, and four states are abstracted. Subsequently, using reinforcement learning models, the four abstracted states are used as the state space of the intelligences, while promoting green building and eco-city design, rationalizing the layout and height of road lighting, and improving the performance of lighting equipment and lighting solutions as the three governance strategies, constitute the action space. Through continuous training it was concluded that areas with strong road and residential lighting, frequent night-time camping and other activities adopt the strategy of rationalizing the layout and height of road lighting;areas with dense night-time light sources, high light intensity and long duration adopt the strategy of promoting green architecture and eco-urban design. And areas with a high demand for night lighting, high air pollution index or large open areas adopt the conclusion of increasing lighting equipment and lighting solutions. © 2023 SPIE.

关键词： Pollution control

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3rd international conference on Advanced Research in Technologies, Information, Innovation and Sustainability, ARTIIS 2023

3rd International Conference on Advanced Research in Technol...

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3rd international conference on Advanced Research in Technologies, Information, Innovation and Sustainability, ARTIIS 2023

ISBN: (纸本)9783031488573

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Optimization of single-phase inverter control algorithm for EMU 3

Optimization of single-phase inverter control algorithm for ...

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3rd international conference on Advanced Algorithms and Signal Image Processing, AASIP 2023

作者： Shen, Lei Li, Hongguo Zhao, Xuqiang Guan, Bin Crrc Qingdao Sifang Rolling Stock Research Institute Co. Ltd Qingdao266000 China

ISBN: (纸本)9781510668522

Single-phase inverter output AC220V/50Hz voltage for the EMU, power supply for the passenger room socket. Traditional single-phase inverter usually adopts voltage RMS control. When passengers use non-controlled rectified nonlinear load such as mobile phone and laptop charger, the output voltage waveform distortion of single-phase inverter is serious, and the low-frequency voltage harmonic content is high. In this paper, an optimization scheme of the control algorithm is proposed. The voltage and current double closed-loop + proportional integral quasi-resonant control method is adopted to improve the dynamic performance of the system and reduce the harmonic content of the low-frequency voltage. By setting up the hardware environment and comparing the voltage and current waveforms before and after the optimization of the control algorithm, the effectiveness of the algorithm is verified. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Electric inverters

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An Optimal control Based Trajectory Planning Method for Cooperative Merging Maneuvers 3

An Optimal Control Based Trajectory Planning Method for Coop...

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3rd international Symposium on Intelligent robotics and Systems, ISoIRS 2023

作者： Wang, Qi Ge, Hao Duan, Xuting Zhou, Jianshan School of Transportation Science and Engineering Beihang University State Key Lab of Intelligent Transportation System Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control State Key Laboratory of Air Traffic Management System and Technology Beijing China Nanjing Research Institute of Electronic Engineering State Key Laboratory of Air Traffic Management System and Technology Nanjing China School of Transportation Science and Engineering Beihang University State Key Lab of Intelligent Transportation System Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control Beijing China

ISBN: (纸本)9798350339963

Due to the prediction errors and diverse driving styles of surrounding vehicles, traffic congestion and even accidents can occur in the traffic bottleneck area where vehicles merge into the main road. To ensure that connected and automated vehicles (CAVs) can quickly and efficiently merge into the main road, this paper proposes a cooperative trajectory planning method based on optimal control for vehicle cut-in scenarios. A optimal control model is constructed, and a quintic polynomial is used to generate the initial solution of the optimal control problem to accelerate the solution process and improve the success rate. Finally, The obtained merging trajectory is then synchronized with the movement of vehicles on the main road to optimize their actions and ensure a safe merging process. Joint simulation with Robot Operating System (ROS) and RVIZ is utilized, and the results show that the proposed algorithm can quickly obtain cooperative results, the locally successful merging trajectory meets the requirements of smoothness and safety, and if the solution does not allow merging, the merging vehicle is instructed to terminate the execution. © 2023 IEEE.

关键词： Trajectories

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A face recognition and temperature compensation system based on Raspberry Pi 3

A face recognition and temperature compensation system based...

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2023 3rd international conference on Detection Technology and Intelligence System, DTIS 2023

作者： Shi, Jing Xu, Zhenhao Chen, Yi Wang, Bo Wang, Qisong Liu, Dan School of Economics and Management Heilongjiang Institute of Technology Heilongjiang Province Harbin150050 China School of Electrical and Information Engineering Heilongjiang Institute of Technology Heilongjiang Province Harbin150050 China School of Instrumentation Science and Engineering Harbin Institute of Technology Heilongjiang Province Harbin150001 China

In the post-epidemic era, for quickly and accurately screening people with abnormal body temperature in small crowds and providing efficient methods for epidemic control, a multi-functional identification thermometer was designed and produced. The device uses the Raspberry PI GIS camera to accurately locate the face and identify the identity information of the measured person. The device uses the AMG8833 infrared array thermal sensor for infrared temperature measurement and the HC-SR04 ultrasonic ranging module for temperature compensation. Through multiple temperature compensation experiments, the measurement error is maintained between ±0.2°C. Based on the mathematical model of temperature compensation, the device can match the identity of people with abnormal body temperature through the database. The research results show that the device is of great significance for improving the efficiency of epidemic prevention and management cost control. © Published under licence by IOP Publishing Ltd.

关键词： Disease control

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Research on Electronic Differential Steering control Strategy for Aircraft Electric Tractors 3

Research on Electronic Differential Steering Control Strateg...

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2023 3rd international conference on Mechatronics Technology and Aerospace engineering, ICMTAE 2023

作者： Gao, Jianshu Jing, Cao School of Transportation Science and Engineering Civil Aviation University of China Tianjin300300 China Airport Special Vehicle Research Institute Civil Aviation University of China Tianjin300300 China School of Electronic Information and Its Automation Civil Aviation University of China Tianjin300300 China

Compared with the traditional fuel aircraft tractor, the electric tractor using the four-wheel hub motor independent drive mode has the advantages of environmental protection, low costs, flexibility, high controllability, and convenience for later maintenance. The paper uses a four-wheel hub motor tractor and a linear vehicle model to propose a hierarchical steering control strategy. The upper layer control adopts the improved integrated sliding mode control algorithm with the yaw angular speed as the control goal to obtain the additional yaw torque. The additional yaw torque obtained is reasonably distributed to each wheel by the use of the rule distribution algorithm of the lower layer control, to obtain the optimal driving torque of each wheel. Finally, the steering stability of the electric aircraft tractor at different speeds is verified based on Simulink. The results show that the control strategy can better control the speed and stability of steering control of electric vehicles. © Published under licence by IOP Publishing Ltd.

关键词： Torque

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Repetitive Process control Interpolation for Varied Thin-Wall Path Lengths in DED Processes 3

Repetitive Process Control Interpolation for Varied Thin-Wal...

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3rd Modeling, Estimation and control conference (MECC)

作者： Snider, Elias B. Bristow, Douglas A. Missouri Univ Sci & Technol Dept Mech & Aerosp Engn Rolla MO 65401 USA

ISBN: (纸本)9781713872344

Iterative learning control (ILC) and repetitive process control (RPC) are layer-to -layer corrective schemes which are particularly well-suited for additive manufacturing (AM). Direct energy deposition (DED) processes have unique error-propagation dynamics which are best compensated for with RPC structures. Frequently in DED builds, a non-constant reference toolpath is required for geometrical constraints (e.g. rocket nozzles, other aerospace applications);however, current control structures are usually limited to constant toolpaths. This work explores an adaptation to an existing interpolating RPC structure capable of accommodating a broader range of non-constant reference toolpaths with greater stability. Modified equations are developed for this structure and resulting specimens are presented. Specimens are compared to previous interpolating RPC implementations and performance metrics are discussed. Further applications for advancement are explored.

关键词： Repetitive Process control Iterative Learning control Direct Energy Deposition Additive Manufacturing Layer-to -Layer control

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Temperature control of Methanol Distillation with High Gain Sliding Mode Variable Structure Based on SVM Multi-Classification 3

Temperature Control of Methanol Distillation with High Gain ...

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2023 3rd international conference on Artificial Intelligence and Industrial Technology Applications, AIITA 2023

作者： Dong, Chao Wang, Chengzhi Bo, Cuimei Li, Jun College of Electrical Engineering and Control Science Nanjing Tech University Nanjing211816 China

In the methanol distillation process, the production conditions are complex and changeable, and the temperature control requirements tend to be diversified. Traditional temperature control process requires manual adjustment of control parameters to adapt to different working conditions. In this paper, a sliding mode variable structure control algorithm based on support vector machine (SVM) multi-classification is proposed. By using the voting strategy of SVM multi-classification, the membership degree between the parameters • in the sliding mode control rate and the indexes of different working conditions is established, and the sliding mode control with a high gain observer is designed to control and adjust the actual temperature. The simulation of the whole temperature control system is realized by using the Simulink platform in Matlab, and the experimental results verify the effectiveness and correctness of the proposed control scheme. © Published under licence by IOP Publishing Ltd.

关键词： Sliding mode control

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