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optimization scheme of partial discharge location of external insulation based on 2-D multiple signal classification algorithm

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IET SCIENCE MEASUREMENT & TECHNOLOGY 2023年第1期17卷 11-26页

作者： Pei, Shaotong Liu, Dewang Ye, Zijian Yang, Jiajun Liu, Yunpeng North China Elect Power Univ Hebei Prov Key Lab Power Transmiss Equipment Secu Yonghua North St 619 Baoding 071003 Peoples R China State Grid Jiangsu Elect Power Engn Consulting Ca Nanjing Peoples R China

Partial discharge (PD) localization is critical to ensure the safe operation of power equipment. In this paper, an optimization scheme is developed for PD positioning of external insulation equipment. The optimization scheme is based on an eight-element cross sensor array to receive the ultrasonic signal generated by the PD, and uses the highly accurate 2-D multiple signal classification (2-D MUSIC) algorithm to locate the signal. Simulated discharge signal is adopted to test the optimization scheme, and the results show that the positioning error is less than 0.61 degrees when the signal-to-noise ratio (SNR) is above -5 dB. In addition, three discharge models are tested at various locations. The average azimuth errors are 0.9 degrees, 1.9 degrees, and 1.55 degrees for the needle-plate, cone-plate, and ball-plate discharge models, respectively, and the average pitch angle errors are 0.75 degrees, 2.1 degrees, and 1.4 degrees, respectively. These show that the needle-plate model has the best positioning effect. Simulations and experiments are also carried out on the double discharge source scenario, and the error is within 2.2 degrees. A PD location visualization equipment based on the proposed optimization scheme is developed and applied on-site. The equipment is capable of satisfying the requirements of operation and maintenance.

关键词： partial discharge localization 2-D multiple signal classification algorithm Signal processing and detection 2-D MUSIC PD location visualization equipment external insulation equipment signal-to-noise ratio Sensing devices and transducers Charge measurement ultrasonic signal optimization scheme partial discharges ball-plate discharge models Transformers and reactors double discharge source scenario signal classification partial discharge measurement PD positioning partial discharge location sensor arrays Dielectric breakdown and discharges simulated discharge signal

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optimization scheme Selection on Bamboo-Wood Pallet Technological Process

Optimization Scheme Selection on Bamboo-Wood Pallet Technolo...

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3rd International Conference on Advanced Design and Manufacturing Engineering (ADME 2013)

作者： Pang, Yan Zhu, Zhaopeng Cent South Univ Forestry & Technol Sch Logist Changsha 410004 Hunan Peoples R China

ISBN: (纸本)9783037858431

The use of tray is the basis to improve the operation efficiency of the entire logistics systematic and can reduce logistics cost. The total amount of tray is a measure of the modem logistics technology level in a country. Study on pallets with a new type of green materials has a far-reaching impact for the development of modern logistics in China. As a new type of green pallet, bamboo-wood pallet with high research value is used to replace wooden pallet. Its production process is complex, which affects its promotion. Analytic hierarchy process is used to analyze the manufacture of bamboo-wood pallet border. Easier manufacture methods and optimized technological process are achieved.

关键词： bamboo-wood pallet technological process optimization scheme AHP

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optimization scheme for the SSC Discrimination Logic of Xinsong-Dongfang HVDC under Small Islanded Operation Mode 11

Optimization Scheme for the SSC Discrimination Logic of Xins...

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11th International Conference on Power and Energy Systems (ICPES)

作者： Zhu, Yukun Li, Chengxiang Zhu, Yihua Chang, Dongxu Li, Shengnan Chen, Yong China Southern Power Grid Elect Power Res Inst State Key Lab HVDC Guangzhou Peoples R China China Southern Power Grid Elect Power Res Inst Guangdong Prov Key Lab Intelligent Operat & Contr Guangzhou Peoples R China China Southern Power Grid Elect Power Res Inst CSG Key Lab Power Syst Simulat Guangzhou Peoples R China Yunan Power Grid Co Ltd Elect Power Res Inst Kunming Yunnan Peoples R China

ISBN: (纸本)9781665413251

The sending end of HVDC in islanded operation mode is a weak AC system, the security and stability control (SSC) system is very important for the operation of the islanded system. In this paper, the SSC strategy of Xinsong-Dongfang HVDC under islanded mode is deeply analyzed, and the defects and risks of the SSC discrimination logic for the small islanded operation mode is exposed during the RTDS simulation tests, as a result, some of the generators cannot be cut off. In addition, Then the research of the action sequence of SSC reveals the improper time coordination between the small islanded mode signal and the cut-off command. Based on the above work, an optimized scheme to discriminate the small islanded operation mode is proposed, and the correctness and effectiveness are verified through the same RTDS tests. This new method has great significance in the SSC design and implementation in HVDC transmission project with similar techniques.

关键词： small islanded operation security and stability control discrimination logic RTDS optimization scheme

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Spatial location weighted optimization scheme for DC optical tomography

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OPTICS EXPRESS 2003年第2期11卷 141-150页

作者： Zhou, J Bai, J He, P Tsinghua Univ Dept Biomed Engn Beijing 100084 Peoples R China Wright State Univ Dayton OH 45435 USA

In this paper, a spatial location weighted gradient-based optimization scheme for reducing the computation burden and increasing the reconstruction precision is stated. The method applies to DC diffusion-based optical tomography, where otherwise the reconstruction suffers slow convergence. The inverse approach employs a weighted steepest descent method combined with a conjugate gradient method. A reverse differentiation method is used to efficiently derive the gradient. The reconstruction results confirm that the spatial location weighted optimization method offers a more efficient approach to the DC optical imaging problem than unweighted method does.

关键词： .image reconstruction Conjugate Gradient optimization method spatial location Reverse differentiation gradient-based optimization scheme weighted steepest descent

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Temperature Field Analytical Solution and optimization scheme after Excavation in Large-scale Ground Freezing Projects

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KSCE JOURNAL OF CIVIL ENGINEERING 2024年第10期28卷 4728-4741页

作者： Zhang, Song Zhou, Xiao-min Sun, Tiecheng Zhang, Jiwei Hebei Univ Architecture Sch Civil Engn Zhangjiakou 075000 Hebei Peoples R China Univ Sci & Technol Beijing Sch Civil & Resource Engn Beijing 100083 Peoples R China Shijiazhuang Tiedao Univ Sch Civil Engn Shijiazhuang 050043 Hebei Peoples R China

Large-scale freezing projects, especially horizontal freezing projects, suffer from the problem of long exposure times, and weakening of the frozen curtain often occurs in the excavation stage. An analytical solution for the temperature between the freezing pipe and excavation surface was deduced in this study to evaluate the freezing effect at this stage. The solution is verified by in-situ measurements of a large-scale freezing project. The analytical solution shows that the temperature is related to the thermal conductivity of the frozen curtain, the shotcrete, the refrigerant temperature, the excavation surface temperature, and the design scheme of the frozen curtain. Moreover, the excavation surface temperature (Ts) is the critical factor. Then, the equations for the thickness and average temperature of the frozen curtain on the side close to the excavation area are derived. Numerical calculations of the frozen curtain base on analytical solution were carried out to analytical frozen curtain. The results show that when the heat dissipation of the exposed excavation surface is considered, the tensile stresses of the vault and bottom plate increase by up to 135%, the compressive stress of the sidewall increases by 29%, and the shear stress of the shoulder increases by 144%. While three solutions were proposed, and their application scenarios and effects are discussed. This study can provide a reference for the design of large-scale freezing projects to protect the frozen curtain after excavation.

关键词： Large-scale freezing project Analytical solution of temperature Temperature of excavation surface optimization scheme

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Study of the effects of environmental variables and supercritical fluid extraction parameters on the extractability of pesticide residues from soils using a multivariate optimization scheme

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ENVIRONMENTAL SCIENCE & TECHNOLOGY 1997年第7期31卷 1934-1939页

作者： Zhou, M Trubey, RK Keil, ZO Sparks, DL ROWAN COLL SCH ENGN GLASSBORO NJ 08028 USA UNIV DELAWARE DEPT PLANT & SOIL SCI NEWARK DE 19717 USA

A multivariate optimization scheme (MOS) was used to investigate the effects of environmental variables and supercritical fluid extraction (SFE) parameters on the extractability of pesticide residues from soil samples. MOS is a highly efficient technique for studying a large number of variables and identifying optimal extraction conditions. MOS offered the opportunity to systematically and simultaneously examine the interaction and effect profiles among important soil variables and extraction parameters. Pesticide residence time in soil had a major influence on binding extent for all tested pesticides. Extractability as a function of soil composition was greatly dependent on the particular pesticide examined. Bensulfuron-methyl was the most difficult to extract from soils containing high levels of both organic matter and clay. Atrazine was extracted more easily than diuron. High organic matter and high clay content led to strong binding for diuron and atrazine, respectively. Effects of SFE parameters on extractability appeared to depend on the nature of residues (e.g., freshly fortified versus aged residues). For freshly fortified samples, analyte solubility in supercritical fluid and/or modified supercritical fluid was the critical factor as indicated by the strong influence of pressure on extraction efficiency. For aged samples, temperature was an important determinant of extraction efficiency, indicating that mass transfer or diffusion processes were rate-limiting. The presence of modifier and extraction duration also significantly impacted extractability of aged pesticides.

关键词： .Multivariate MOS residence time Atrazine Effects of Environmental soil samples Fluid Extraction Extractability Pesticide Residues Soils Using optimization scheme Nemours and Company SFE parameters Bensulfuron-methyl

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Heat transfer mechanism and performance optimization scheme of refractory oxide solid heat storage materials

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CERAMICS INTERNATIONAL 2024年第12期50卷 21686-21694页

作者： Hao, Bianlei Sun, Guangchao Zhang, Jiayu Li, Xiang Xu, Fatang Liu, Kaiqi Chinese Acad Sci Inst Proc Engn State Key Lab Mesosci & Engn Beijing 100190 Peoples R China Univ Chinese Acad Sci Beijing 100049 Peoples R China

Clean energy advances can drive solid heat storage technology. Because of their high-temperature, corrosion, and excellent thermal shock resistance properties, refractory oxides are widely used as solid heat storage materials. However, their applications are limited owing to their poor heat-transfer performance resulting from their multicomponent, multiphase, and complex nature and thus understanding their heat-transfer mechanism will be crucial for their performance optimization. In this study, the thermal properties and mechanisms of corundum, high-alumina, and magnesia bricks were characterized using heat-transfer theories and models. Macroscopic analysis of the bricks revealed that they are all "internal porosity" materials. By comparing the weighting parameter j, the multiphase high-alumina brick shows poor heat-transfer path patency and the measured thermal conductivity is the lowest at 3.55 W m-1 K-1. Microscopic analysis found that in contrast to the thermal conductivity of other materials, the thermal conductivity of high-alumina bricks was significantly affected by phonon intrinsic scattering. Moreover, corundum and magnesia bricks exhibited a wider range of ultimate heattransfer performance than the high-alumina brick. Hence, the heat-transfer performance of refractory oxide can be enhanced by increasing their particle contact, reducing the negative effects of microcracks, phases, and impurities, and by reducing the number of defects on phonon heat transfer, thereby providing an optimization scheme for improving the heat-transfer performance of the materials.

关键词： Solid heat storage materials Refractory oxide Heat -transfer mechanism Thermal conductivity optimization scheme

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A new Internet of Things based optimization scheme of residential demand side management system

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IET RENEWABLE POWER GENERATION 2022年第10期16卷 1992-2006页

作者： Alhasnawi, Bilal Naji Jasim, Basil H. Mansoor, Riyadh Alhasnawi, Arshad Naji Rahman, Zain-Aldeen S. A. Alhelou, Hassan Haes Guerrero, Josep M. Dakhil, Adel Manaa Siano, Pieruigi Basrah Univ Elect Engn Dept Basrah Iraq Al Furat Al Awsat Tech Univ Tech Inst Dept Elect Tech Samawa Iraq Al Muthanna Univ Dept Elect & Commun Engn Samawah Iraq Al Muthanna Univ Coll Educ Pure Sci Dept Biol Samawah Iraq Univ Coll Dublin Sch Elect & Elect Engn Dublin 4 Ireland Aalborg Univ Ctr Res Microgrid CROM AAU Energy Dept Aalborg Denmark Misan Univ Elect Engn Dept Misan Iraq Salerno Univ Management & Innovat Syst Dept Salerno Italy Univ Johannesburg Dept Electt & Elect Engn Sci Johannesburg South Africa

The steady increase in the energy demand and the growing carbon footprint has forced electricity-based utilities to shift from their use of non-renewable energy sources to renewable energy sources. Furthermore, there has been an increase in the integration of renewable energy sources in the electric grid. Hence, one needs to manage the energy consumption needs of the consumers, more effectively. Consumers can connect all the devices and houses to the internet by using Internet of Things (IoT) technology. In this study, the researchers have developed and proposed a novel 2-stage hybrid method that schedules the power consumption of the houses possessing a distributed energy generation and storage system. Stage 1 modeled the non-identical Home Energy Management Systems (HEMSs) that can contain the DGS like WT and PV. The HEMS organise the controllable appliances after taking into consideration the user preferences, electricity prices and the amount of energy produced /stored. The set of optimal consumption schedules for every HEMS was estimated using a BPSO and BSA. On the other hand, Stage 2 includes a Multi-Agent-System (MAS) based on the IoT. The system comprises two portions: software and hardware. The hardware comprises the Base Station Unit (BSU) and many Terminal Units (TUs).

关键词： HEMS power engineering computing novel 2-stage hybrid method optimal consumption schedules storage system multi-agent systems energy consumption multiagent-system growing carbon footprint distributed energy generation building management systems optimisation TU electricity-based utilities residential demand side management system power grids energy consumption needs BPSO BSU nonrenewable energy sources Internet of Things BSA electric grid energy demand electricity prices demand side management Internet of Things based optimization scheme renewable energy sources power consumption MAS energy management systems IoT technology base station unit terminal units nonidentical home energy management systems optimization scheme

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Energy-saving intelligent manufacturing optimization scheme for new energy vehicles

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INTERNATIONAL JOURNAL OF EMERGING ELECTRIC POWER SYSTEMS 2022年第6期23卷 913-926页

作者： Zeng, Xianjun Sun, Xiuqian Zhao, Fei Hebei Vocat Univ Technol & Engn Dept Automot Engn Xingtai 054000 Hebei Peoples R China Hebei Special Vehicle Modificat Technol Innovat C Xingtai 054000 Hebei Peoples R China

With the rapid development of the automobile industry in recent years, China has become a big country of automobile production and consumption. The development of China's auto industry is currently at an important turning point, and accelerating the development of new energy vehicles has become a major national strategic measure. This research mainly discusses the energy-saving intelligent manufacturing optimization scheme of new energy vehicles. With the rapid growth of the global car ownership, from the perspective of sustainable development, the automobile industry must solve the four major automobile public hazards in the world: energy, pollution, safety and congestion. In view of this, the state regards energy-saving and new energy vehicles as the main strategic direction for the transformation and upgrading of China's automobile industry. This paper uses industrial engineering theory and lean management concept, and through the application of new intelligent manufacturing mode, realizes the design and manufacture of energy-saving and new energy vehicle lightweight body, and creates a reliable, comprehensive and feasible manufacturing collaborative management MES platform. It solves the problem of integration and interconnection of enterprise information platforms, realizes the intelligence and flexibility of stamping and welding automated production lines, shortens the development cycle, and meets the diverse needs of products. The first is to organize research on lean production theory, analyze the scope of application of theoretical tools, summarize theoretical tools suitable for lightweight intelligent manufacturing of automobiles, and provide theoretical support for lean and intelligent manufacturing research and on-site improvement;the second is to integrate and optimize the production process and process design through quantitative analysis and qualitative analysis, integrating theories such as production takt management and pull production, and analyze

关键词： energy saving intelligent manufacturing new energy vehicle optimization scheme smart factory

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Metaheuristic optimization scheme for quantum kernel classifiers using entanglement-directed graphs

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ETRI JOURNAL 2024年第5期46卷 793-805页

作者： Tjandra, Yozef Sugiarto, Hendrik Santoso Calvin Inst Technol Internet Things & Elect Engn Jakarta Indonesia

Entanglement is crucial for achieving quantum advantages. However, in the context of quantum machine learning, existing optimization strategies for generating quantum classifier circuits often result in unentangled circuits, indicating an underutilization of the entanglement effect needed to learn complex patterns. In this study, we proposed a novel metaheuristic approach-genetic algorithm-for designing a quantum kernel classifier that incorporates expressive entanglement. This classifier utilizes a loopless entanglement-directed graph, where each directed edge represents the entanglement between the target and control qubits. The proposed method consistently outperforms classical and quantum baselines across various artificial and actual datasets, achieving improvements up to 32.4% and 17.5%, respectively, compared with the best model among all other baselines. Moreover, this method successfully reconstructs the hidden entanglement structures underlying artificial datasets. The results also demonstrate that the optimized circuits exhibit diverse entanglement variations across different datasets, indicating the versatility of the proposed approach.

关键词： entanglement-directed graphs genetic algorithm optimization scheme quantum kernels quantum machine learning

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