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Low-Carbon Disassembly Sequence Planning with Improved MothFlame Optimizer by Considering Non-homogeneous Information in Industry 5.0 20

Low-Carbon Disassembly Sequence Planning with Improved MothF...

引用

IEEE 20th International conference on automation Science and engineering (CASE)

作者： Feng, Yixiong Cui, Kaiyue Hong, Zhaoxi Yan, Weiyu Song, Xiuju Tan, Jianrong Zhejiang Univ State Key Lab Fluid Power & Mechatron Syst Hangzhou 310027 Zhejiang Peoples R China Guizhou Univ State Key Lab Publ Big Data Guiyang 550025 Guizhou Peoples R China Zhejiang Univ Ningbo Innovat Ctr Ningbo 315100 Zhejiang Peoples R China

ISBN: (纸本)9798350358513;9798350358520

Complex high-end equipment is the fundamental hardware of Industry 5.0. Low-carbon green disassembly for high-end equipment has prominent effects on Industry 5.0. However, low-carbon disassembly sequence planning (DSP) for complex high-end equipment is time-consuming and inefficient. Moreover, it is easy to generate non-homogeneous decisionmaking information due to cognitive uncertainty during disassembly evaluation, which makes it too difficult to determine the optimal solution. To address these issues, this work proposes a novel DSP method by integrating disassembly carbon benefit, improved Moth-Flame Optimizer (IMFO), and normalization of non-homogeneous information in this study. IMFO is designed to solve DSP. It adopts good-set theory, a nonlinear dynamic convergence factor, and an adaptive weight for greater efficiency in searching for feasible solutions. A 2-tuple is utilized as the uniform representation base to process non-homogeneous information. Finally, a case study for the CNC TGK46100 is provided to illustrate the effectiveness of the proposed method. Throughout the analysis, carbon benefit is increased by 1 to 2.83 times, and computing efficiency is increased by 68.57% and 61.27% over an advanced ant colony algorithm and genetic algorithm respectively.

关键词： Premixed flames

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A self-training-based approach for aluminum alloy casting quality prediction 20

A self-training-based approach for aluminum alloy casting qu...

引用

IEEE 20th International conference on automation Science and engineering (CASE)

作者： Wang, Haonan Wu, Jun Sun, Quanzhi Liu, Weipeng Peng, Tao Tang, Renzhong Zhejiang Univ Sch Mech Engn State Key Lab Fluid Power Components & Mechatron Hangzhou Peoples R China Zhejiang Wanfeng Technol Dev Co Ltd Shengzhou 312400 Peoples R China Hangzhou City Univ Sch Engn Hangzhou 310015 Peoples R China

ISBN: (纸本)9798350358513;9798350358520

With the revolutionary advances of integrated structural components in current automotive industry, aluminum alloy castings are in a rising demand. Aluminum alloy casting quality prediction in high responsiveness and low operational cost is crucial for structural components manufacturers. Therefore, casting machine manufacturers are urged to incorporate advanced quality prediction functions in the next generation of intelligent casting machines. Acquiring ample quality inspection data is crucial for realizing such functions. However, these data are normally difficult, if not infeasible, to obtain due to practical issues, e.g. data proprietorship or privacy. To address this challenge, a self-training-based approach for aluminum alloy casting quality prediction is proposed. XGBoost is used as a base classifier in this study. This approach aims to train quality prediction model with scarce labeled data, and assigns pseudo-labels to unlabeled data that meet certain probability threshold. These unlabeled data are then selected and integrated into the labeled dataset, continuously updating the dataset and retraining prediction models. To verify the effectiveness of our approach, a casting machine manufacturer was collaborated to conduct a case study. The preliminary results demonstrate that our approach could achieve an accuracy, precision, recall and F1 score of 92%, 88%, 57%, and 0.69, respectively. The approach supports casting machine manufacturers to pre-train a casting quality prediction models with scarce labeled data, enabling timely quality defect identification.

关键词： Aluminum castings

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Analysis and Research on Core Losses Model Under PWM Waveform Voltage Excitation with DC Bias 3

Analysis and Research on Core Losses Model Under PWM Wavefor...

引用

3rd Asia power and Electrical Technology conference, APET 2024

作者： Yao, Haowei Wang, Jinghui Chen, Wei College of Electrical Engineering and Automation Fuzhou University Fuzhou China Fuzhou University College of Electrical Engineering and Automation Fujian Key Laboratory of New Energy Generation and Power Conversion Fuzhou China

ISBN: (纸本)9798350367690

The accurate core losses model building under high-frequency PWM voltage excitation with DC bias is study in this paper. The DC power method is adopted to precisely measure core losses under PWM waveform with DC bias conditions, and based on experimental design and data analysis, the influential factors of core losses under these conditions and their relationships with core losses are identified. Eventually, the mathematical model which can represent the core losses under these conditions accurately is proposed, and the experiment verified that the model can accurately predict the core loss under different duty cycle PWM voltage excitations with DC bias. © 2024 IEEE.

关键词： Bias voltage

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Optimal power and Gas Flow of Energy Internet with Non-Isothermal Process and Energy Storage 43

Optimal Power and Gas Flow of Energy Internet with Non-Isoth...

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43rd Chinese Control conference, CCC 2024

作者： Liu, Chen He, Shiyuan Wang, Xinyi Liu, Xiao-Kang Huazhong University of Science and Technology School of Artificial Intelligence and Automation Wuhan430074 China Huazhong University of Science and Technology Ministry of Education Key Laboratory of Image Processing and Intelligent Control Wuhan430074 China

ISBN: (纸本)9789887581581

The electrical-gas coupled power flow problem is one of the most basic problems under Energy Internet. In order to achieve a more complete analysis of the electric-gas coupled power flow, this paper establishes a novel integrated energy system model that considers electricity and natural gas. This model integrates the power system AC power flow model and the non-isothermal process of natural gas pipeline transmission, achieving a more accurate description of the power grid and gas network power flow. At the same time, the beneficial effects of energy storage units on the network of each part of the system are analyzed. Through simulation design, the benefits of energy storage access on system cost and security are analyzed and quantified. © 2024 Technical Committee on Control Theory, Chinese Association of automation.

关键词： Energy storage

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Research on Higher-Order Operator Transformation Algorithms for Syntax Transformation-Based Model Checking 7

Research on Higher-Order Operator Transformation Algorithms ...

引用

7th International conference on automation Electronics and Electrical engineering

作者： Liu, Ji Liu, Jie Luo, Lingyun Yang, Fei Liu, Mingxing Tu, Yu Univ South China Sch Comp Sci Hengyang Hunan Peoples R China Univ South China Sch Comp Sci Hunan Engn Res Ctr Software Evaluat & Testing Int Hengyang Hunan Peoples R China China Nucl Power Inst Res & Design Inst Chengdu Sichuan Peoples R China

ISBN: (纸本)9798350377040;9798350377033

Model checking technology addresses the limitations of traditional testing methods, which cannot cover all possible system states. Syntax transformation-based model checking methods convert source programs into equivalent forms and leverage existing model checking tools for verification, providing adaptability to various syntactic structures. The L2C language, widely used in safety-critical domains, lacks effective model checking support for its advanced features, particularly higher-order operators. To address this issue, this paper proposes a syntax transformation-based higher-order operator model checking method that converts L2C programs into equivalent Lustre programs. The method employs the ANTLR tool for lexical analysis, syntax analysis, abstract syntax tree generation, and simplification, enabling effective model checking of higher-order operators in the L2C language.

关键词： Model Checking Syntax Transformation Higher-Order Operators

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A Comparative Analysis of Short-Term Solar power Forecasting Using Machine Learning Methods 3

A Comparative Analysis of Short-Term Solar Power Forecasting...

引用

3rd IEEE International conference on Robotics, automation, Artificial-Intelligence and Internet-of-Things, RAAICON 2024

作者： Sultana, Nasrin Islam, Md. Samin Safayat Islam, Md. Rashidul Sheikh, Md. Rafiqul Islam Faruque, Md. Omer Rajshahi University of Engineering and Technology Department of Electrical & Electronic Engineering Rajshahi6204 Bangladesh Dhaka University of Engineering and Technology Department of Electrical & Electronic Engineering Gazipur1707 Bangladesh

ISBN: (纸本)9798331534400

Integrated power systems encounter a multitude of challenges due to the variability observed in solar energy. As a result, it is requisite to make precise predictions regarding solar power. This study conducted a comparative analysis of various models including categorical boosting (CatBoost), random forest (RF), adaptive boosting (AdaBoost), gradient boosting (GB), extreme gradient boosting (XGBoost), and gated recurrent network (GRU). The objective of this paper is to determine the most accurate model for predicting global horizontal irradiance (GHI) in Canberra, Australia. This research used data collected at 60-minute, 30-minute, 15-minute, 10-minute, and 5-minute intervals throughout the year to ensure each model's consistency in performance. As the number of samples increased in the dataset, each model's performance improved significantly. This research made it quite evident that GRU outperformed all other models in producing the best results for this dataset. © 2024 IEEE.

关键词： Solar irradiance

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Enhancing power System Resilience: A Contingency-Based Approach for Integrating Renewable Energy Sources 2

Enhancing Power System Resilience: A Contingency-Based Appro...

引用

2nd IEEE International conference on Measurement, Instrumentation, Control and automation, ICMICA 2023

作者： Kumar, Amit Sood, Yog Raj Maheshwari, Ankur National Institute of Technology Hamirpur Department of Electrical Engineering Hamirpur India Gnitc Electrical Engineering Department Telengana Hyderabad India

ISBN: (纸本)9798350355048

This research paper investigates the critical need to improve power system resilience through a comprehensive strategy that combines contingency-based load flow analysis and strategic integration of renewable energy sources (RES) at identified weak points. The study proposes resilient solutions that fortify weak points through the incorporation of RES, such as solar and wind, by systematically evaluating vulnerabilities to potential disruptions. The study investigates the nuanced interaction of RES with existing infrastructure during disturbances, providing critical insights for strengthening the power grid. Diverse perspectives on the synergy between contingency-based analysis and targeted RES integration contribute to the development of a comprehensive framework for building a resilient power system. This all-inclusive approach ensures a reliable and sustainable energy future, which is critical for navigating the complexities of today's ever-changing energy landscape. © 2024 IEEE.

关键词： Wind power integration

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Construction of automation Operation Management and Control Platform for power Grid Enterprises Based on Digital Transformation

Construction of Automation Operation Management and Control ...

引用

2024 International conference on Electrical Drives, power Electronics and engineering, EDPEE 2024

作者： Deng, Churan Pang, Peng Wan, Chan Zhao, Shuang Csg Guangdong Power Grid Co. Ltd. Guangdong Guangzhou510600 China

ISBN: (纸本)9798350395631

Digital transformation has triggered a profound change in the power industry, and power grid enterprises have ushered in brand-new opportunities and challenges. Based on the construction of automatic operation management and control platform, this paper discusses the far-reaching influence of digital transformation on the operation and management of power grid enterprises. Through the comprehensive use of real-time monitoring, intelligent dispatching, predictive maintenance and other advanced technical means, the digital, intelligent and sustainable development of power system operation has been realized. Firstly, this paper analyzes the background of digital transformation and the challenges faced by the power industry, and emphasizes the urgency of building an automatic operation control platform. Subsequently, the key functions of the platform are introduced in detail, including real-time monitoring of power system status, intelligent dispatching of power equipment, predictive maintenance of key equipment, etc., which provides all-round operational support for power grid enterprises. In the process of implementation, this paper adopts a systematic method, including requirements analysis, technology selection, system design, development and integration, testing and optimization, deployment and training. Through case analysis, it shows the successful implementation of the automation operation management and control platform of power grid enterprises, and presents remarkable achievements in improving operational efficiency, reducing costs and optimizing resources. The analysis of results and benefits shows that the implementation of the automatic operation management and control platform has brought about significant improvement in operational efficiency, cost reduction, resource optimization and service quality. Through digital transformation, power grid enterprises have successfully responded to market changes, improved their competitiveness and laid a solid found

关键词： automation

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Research on Site Selection and Capacity Configuration of Novel Magnetic Controlled Transformers

Research on Site Selection and Capacity Configuration of Nov...

引用

International conference of Electrical, Electronic and Networked Energy Systems, EENES 2024

作者： Lu, Wei Zhou, Kai Liu, Kai You, Dezhu Wu, Yongzhong Ma, Guangchen Power Research Institute of China Southern Power Grid Co. Ltd. Guangdong510700 China Zhaoqing Power Supply Bureau of Guangdong Power Grid Co. Ltd. Zhaoqing526040 China State Key Laboratory of Power Grid Environmental Protection School of Electrical Engineering and Automation Wuhan University Wuhan China School of Electrical Engineering and Automation Wuhan University Wuhan430072 China

ISBN: (纸本)9789819618514

Magnetic controlled transformers (MCTs) are an innovative type of power equipment that integrates controllable reactors and transformers, facilitating reactive power and voltage regulation within distribution networks. This paper investigates the siting of MCTs, using a distribution network in a town in southern China as a case study. A siting model for MCTs is established, and the impacts of photovoltaic (PV) capacity, supply radius, and load characteristics on the siting process are analyzed. Upon completing the siting, the reactive power capacity of the MCTs is designed and calculated based on the specific characteristics of the lines where MCTs are to be installed. The calculation results align closely with preliminary theoretical research findings. The insights provided by this study can effectively guide the practical engineering application of MCTs. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Distribution transformers

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Study on Influencing Factors of Air-Conditioning Loads Participating in Frequency Modulation of power System 4th

Study on Influencing Factors of Air-Conditioning Loads Parti...

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4th International conference on Energy power and automation engineering, ICEPAE 2023

作者： Liu, Meiyan Wang, Juanjuan School of Automation and Electrical Engineering Dalian Jiaotong University Liaoning Shahekou Dalian China

ISBN: (纸本)9789819988778

Frequency is a crucial parameter to judge the power quality of power system, and also a key factor to maintain the stable operation. Air-conditioning load (ACL) can participate in frequency modulation (FM) of power system, in order to deal with the adverse effect of numbers of renewable energy input power system. Therefore, a cluster load model based on the first-order ETP is established according to the operating characteristic of air-conditioning (AC). In this paper, the influencing factors of its participation in FM are studied. This paper analyzes the influence results of many factors, especially considers the power consumption probability of ACLs under the influence of user's behavior. A power consumption probability model of ACs based on user behavior is proposed, which is incorporated into the cluster model. The validity of the proposed models, which provide a basis for the load side to participate in power system, was verified by simulation. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Frequency modulation

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