检索结果-内蒙古大学图书馆

Adaptive Fault Detection Scheme Using an Optimized Self-healing Ensemble Machine Learning Algorithm

CSEE Journal of power and Energy systems 2022年第4期8卷 1145-1156页

作者： Levent Yavuz Ahmet Soran AhmetÖnen Xiangjun Li S.M.Muyeen Electrical and Computer Engineering Department in Abdullah Gül University Kayseri 38080Turkey Department of Electrical and Computer Engineering College of EngineeringSultan Qaboos UniversityAl-KhoudMuscat123Oman Department of Electrical Engineering Qatar UniversityDoha 2713Qatar State Key Laboratory of Control and Operation of Renewable Energy and Storage Systems China Electric Power Rescarch InstituteBeijing 100192China

This paper proposes a new cost-efficient,adaptive,and self-healing algorithm in real time that detects faults in a short period with high accuracy,even in the situations when it is difficult to *** than using traditional machine learning(ML)algorithms or hybrid signal processing techniques,a new framework based on an optimization enabled weighted ensemble method is developed that combines essential ML *** the proposed method,the system will select and compound appropriate ML algorithms based on Particle Swarm Optimization(PSO)*** this purpose,power system failures are simulated by using the PSCA D-Python *** of the salient features of this study is that the proposed solution works on real-time raw data without using any pre-computational techniques or pre-stored ***,the proposed technique will be able to work on different systems,topologies,or data *** proposed fault detection technique is validated by using PSCAD-Python co-simulation on a modified and standard IEEE-14 and standard IEEE-39 bus considering network faults which are difficult to detect.

关键词： Decision tree(DT) ensemble machine learning algorithm fault detection islanding operation k-Nearest Neighbor(kNN) linear discriminant analysis(LDA) logistic regression(LR) Naive Bayes(NB) self-healing algorithm

来源：评论

学校读者我要写书评

暂无评论

Distributionally Robust Renewable-Transmission-Storage Planning Considering Carbon Taxes 22

Distributionally Robust Renewable-Transmission-Storage Plann...

引用

2022 Asia Conference on Electrical, power and Computer engineering, EPCE 2022

作者： Xie, Rui Wei, Wei Mei, Shengwei State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing China

ISBN: (纸本)9781450396127

To protect the environment and lower carbon dioxide emissions, conventional fossil-fuel generators tend to be replaced by renewable generation. The volatile and uncertain renewable generation, as well as the reduced proportion of conventional fossil-fuel generators, causes challenges for power systems in terms of peak shaving. The equipment of energy storage is an important solution for the challenges. This paper proposes a distributionally robust method that coordinatedly plans renewable generation, transmission, and energy storage, minimizing the sum of investment and operation costs including carbon taxes. The operation cost is the optimal value of an operation optimization problem. Wasserstein-metric-based ambiguity set is established to deal with the possible inexactness of the empirical distribution of renewable generation and load uncertainties, based on which the worst-case expectation of operation cost is formulated. By calculating the Lipschitz constant of the operation cost function, the planning model comes down to mixed-integer linear programming. The case study in the IEEE 30-bus system demonstrates the effectiveness of the proposed method. © 2022 Owner/Author.

关键词： Carbon dioxide

来源：评论

学校读者我要写书评

暂无评论

Electromechanical System Of control And Determination Of Strength Of Concrete By NonDestructive Method 4

Electromechanical System Of Control And Determination Of Str...

引用

4th IEEE KhPI Week on Advanced Technology, KhPI Week 2023

作者： Parashchuk, Lidiya Shelekh, Yurii Sabat, Myroslav Odosii, Lubomyra Deartment of Electromechnical and Electronics Hetman Petro Sahaidachnyi National Army Academy Lviv Ukraine Department of Electric Power Engineering and Control Systems Lviv Polytechnic National University Lviv Ukraine

ISBN: (纸本)9798350395532

The current trend in the development of nondestructive testing of materials in the building industry is mainly concerned with the detection of flaws and defects in concrete elements and structures, and acoustic methods are prospects in this field. An important indicator of the quality of concrete is strength. However, non-destructive testing methods do not allow direct linking of the electrical characteristics with the strength. In this paper, in the form of a graphical dependence using an electromechanical installation based on experimental studies, the relationship between strength and acoustic impedance is shown. © 2023 IEEE.

关键词： Nondestructive examination

来源：评论

学校读者我要写书评

暂无评论

Intelligent Fault Diagnosis for Low-Voltage power Network

Intelligent Fault Diagnosis for Low-Voltage Power Network

引用

2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023

作者： Anwar, Hamza M. Shafiullah, Md Abido, M.A. Kfupm Control & Instrumentation Engineering Department Dhahran31261 Saudi Arabia Electrical Engineering Department Dhahran31261 Saudi Arabia Kfupm Irc for Renewable Energy and Power Systems Dhahran31261 Saudi Arabia Dhahran31261 Saudi Arabia

ISBN: (纸本)9781665471640

Faults are common and potentially dangerous problems in low-voltage power system networks, e.g., distribution networks. Upon discovery, they must be dealt with immediately to prevent further damage to the distribution system and quickly return electricity to consumers. This paper proposes a hybrid fault diagnosis method combining a signal processing technique with deep learning models. Faults are applied in a four-node test distribution feeder developed using MATLAB and Simulink. Different measurement noise levels are implemented, along with varying load and fault parameters. The short-time Fourier transform (STFT) is used on the feeder's current signals as a feature extraction tool. These features are then used to train deep learning models to detect, classify, and locate faults. Various parameters of the models are varied to find the optimum ones, which are used to obtain the results. The findings show that the model performed exceptionally well in fault detection and classification and satisfactorily in fault location. © 2023 IEEE.

关键词： deep neural networks fault classification fault detection fault location MATLAB/SIMULINK Python Short-time Fourier Transform

来源：评论

学校读者我要写书评

暂无评论

Network synchronizability enhancement viaadding antagonistic interactions

引用

Autonomous Intelligent systems 2024年第1期4卷 1-7页

作者： Yue Song Xiaoqin Liu Dingmei Wang Pengfei Gao Mengqi Xue Shanghai Institute of Intelligent Science and Technology Tongji UniversityShanghai201210China Shanghai Research Institute for Intelligent Autonomous Systems Tongji UniversityShanghai201210China Department of Control Science and Engineering Tongji UniversityShanghai201210China National Key Laboratory of Autonomous Intelligent Unmanned Systems Tongji UniversityShanghai201210China Lanzhou Longneng Electric Power Technology Company Lanzhou730070China

We discover a“less-is-more”effect that adding local antagonistic interactions(negative edge weights)can enhance the overall synchronizability of a dynamical network *** explain this seemingly counterintuitive phenomenon,a condition is established to identify those edges the weight reduction of which improves the synchronizability index of the underlying *** further reveal that this condition can be interpreted from the perspective of resistance distance and network community *** obtained result is also verified via numerical experiments on a 14-node network and a 118-node *** brings new thoughts and inspirations to the future directions of optimal network design problems.

关键词： Synchronizability Complex network Laplacian matrix Antagonistic interaction

来源：评论

学校读者我要写书评

暂无评论

Quasi-Newtonian Method for Analyzing the Modes of Operation of Transformers 16

Quasi-Newtonian Method for Analyzing the Modes of Operation ...

引用

16th IEEE International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer engineering, TCSET 2022

作者： Bilyy, Leonid Krokhmalnyi, Bohdan Segeda, Mykhailo Khmelnytskyy National University Department of Machines and Devices Electromechanical and Power Systems Khmelnytskyy Ukraine Lviv Politechnic National University Department of Electromechatronics and Computerized Electromechanical Systems Lviv Ukraine Lviv Politechnic National University Department of Power Engineering and Control Systems Lviv Ukraine

ISBN: (纸本)9781665468619

The publication is devoted to methods of analysis of modes of operation of electrical devices. Based on the unity of all physical processes of such devices, the principle of using a single mathematical apparatus to study their electromagnetic processes. The task of analysis of any electromagnetic device consists of four interrelated stages: calculation of transients and steady-state processes, determination of static stability and analysis of parametric sensitivity. Only the first of them is solved in the time domain, the rest - in the timeless. © 2022 IEEE.

关键词： Time domain analysis

来源：评论

学校读者我要写书评

暂无评论

Data-Driven EMPC with Design of Terminal Ingredients

Data-Driven EMPC with Design of Terminal Ingredients

引用

International Conference on control, Instrumentation, and Automation

作者： Fatemeh Ostovar Ali Akbar Safavi Leonhard Urbas Department of Power & Control Engineering Shiraz University Shiraz Iran Department of Process Control Systems Technische Universität Dresden Dresden Germany

ISBN: (数字)9798331509972

ISBN: (纸本)9798331509989

This paper introduces a novel data-driven economic model predictive control (EMPC) framework for linear time-invariant (LTI) systems, using Willems’ Fundamental Lemma to describe system behavior with persistently exciting data. Our method incorporates terminal ingredients, including a terminal cost and terminal constraint, to ensure recursive feasibility and asymptotic stability. We detail the design procedure for these terminal ingredients within the data-driven EMPC context. The paper concludes by confirming the strong duality property, feasibility and stability of the economically optimal equilibrium in the closed-loop system. The proposed EMPC framework is validated through its application to an isothermal stirred-tank reactor (CSTR), demonstrating its effectiveness.

关键词： Linear systems Asymptotic stability Costs Instruments Chemical reactions Stability analysis Nonlinear systems Isothermal processes Optimization Predictive control

来源：评论

学校读者我要写书评

暂无评论

Selection of the Composition of the Included Generating Equipment Considering the Reliability Factor 6

Selection of the Composition of the Included Generating Equi...

引用

6th International Scientific Conference on Information, control, and Communication Technologies, ICCT 2022

作者： Andryushin, Alexander V. Neklyudov, Alexey V. Arakelyan, Edik K. Yagupova, Julia Y. Pashchenko, Fedor F. Dolbikova, Nina S. National Research University 'Moscow Power Engineering Institute' Department of Automated Control Systems for Thermal Processes Moscow Russia Laboratory of Intelligent Control and Simulation Systems V.A. Trapeznikov Institute of Control Sciences of Ras Moscow Russia

ISBN: (数字)9781665493673

ISBN: (纸本)9781665493673

At present, ensuring reliability is an integral part of maintaining the high efficiency of operation of electric power equipment. The reliability factor can be considered and considered at different stages of solving the problem of optimizing the operation of equipment for thermal power plants, this article will consider the stage of applying for choosing the composition of the main generating equipment, considering reliability. The method for choosing the composition of the main generating equipment, considering the reliability criterion, is described. A technique for calculating the reliability characteristics of equipment and taking them into account when a power plant enters the market is presented. The optimal distribution of the load and the choice of the composition of the equipment, considering the criterion of reliability, are analyzed using the example of different loads of power units. © 2022 IEEE.

关键词： Reliability

来源：评论

学校读者我要写书评

暂无评论

Peak Forecasting for Electricity Loads in Jordan Using a Weighted Combination of Feed Forward Back Propagation Neural Network and Holt-Winter 3

Peak Forecasting for Electricity Loads in Jordan Using a Wei...

引用

3rd International Conference on Intelligent engineering and Management, ICIEM 2022

作者： Sleem, Ahmad Abu Mohammed, Ayman R. Shkoor, Saleh Al Saleh, Haitham IRC for Smart Mobility and Logistics Department of Industrial and Systems Engineering Dhahran Saudi Arabia Electrical Power Engineer Technical Control Department Amman Jordan

ISBN: (数字)9781665467568

ISBN: (纸本)9781665467568

Predicting electrical loads is critical since it requires the preparation of work schedules for main and minor transformer maintenance operations. This study aims to estimate the maximum evening electricity loads in Jordan in order to plan preventive maintenance. Because the data contains two sorts of patterns, trend and seasonal, methods that address both of these patterns must be applied. Long-term maximum peak forecasting for the next five years from 2022 to 2027 is performed by utilizing a weighted combination of two methods: Feed Forward Back Propagation Neural Network and Holt-Winters. The Seasonal Autoregressive Integrated Moving Average method is also used and found of less accuracy than the two other models. A near-optimal weighted combination of the Neural Network Model and Holt-Winter is then obtained by using a non-linear optimization local search heuristic model. The new model results are of high accuracy that the value of R2 was increased from 70.2 % for the Neural Network Model and 82.4 % for the Holt-Winters method to 84.3 % in the weighted combination between them. Moreover, the value of Mean Absolute Error was decreased to from 134 and 188 for the Holt-Winter and Neural Network models respectively to become 117.98. Upon the results, recommendations are provided to the decision-makers. © 2022 IEEE.

关键词： Neural network models

来源：评论

学校读者我要写书评

暂无评论

Electrical Tracking,Erosion and Fire Retardancy Performance of Silicone Rubber Insulation Containing Aluminum Trihydrate,Graphene and Glass Fiber Additives

引用

CSEE Journal of power and Energy systems 2023年第5期9卷 1918-1925页

作者： M.Tariq Nazir Arslan Khalid B.Toan Phung Arup K.Das Peter Cheetham Ashish Paramane Shakeel Akram Khoi Loon Wong School of Engineering RMIT UniversityMelbourneVIC 3000Australia. the Center for Advanced Power Systems(CAPS) Florida State UniversityFL 32310USA the Flame Security International Pty Limited Australia the School of Electrical Engineering and Telecommunications University of New South Wales SydneyNSW 2052Australia Department of Electrical Engineering National Institute of TechnologySilcharAssam 788010India the College of Electrical Engineering and Control Science Nanjing Tech UniversityNanjingJiangsu 211816China

Silicone rubber composite is a priority electrical insulating material used in high-voltage outdoor insulation *** electrical tracking/erosion and poor flame resistance performance of silicone rubber once ignited,substantially reduce its working *** paper attempts to investigate tracking/erosion performance of room temperature vulcanized(RTV)silicone rubber along with flame retardant parameters using aluminum trihydrate(ATH),graphene nanosheets(GN)and milled glass fiber(GF)*** inclined plane test(IPT)was performed in line with criteria defined in IEC 60587 using step-up tracking voltage method while flame retardancy is evaluated according to ASTM E 1354.0 using a cone *** suggest 30% of ATH assists in improving physical tracking/erosion resistance of pristine silicone elastomer rubber by impeding development of leakage current and a great reduction in maximum average temperatures on the surface of *** improvement in performance of RTV2 is achieved through introduction of 1%of GN and 5% of GF as seen in ***,30% of ATH reduces heat release rate and smoke production rate,and this trend is improved with the introduction of GN/***4 has pop up as the most promising silicone rubber composite with excellent electrical tracking,erosion,and flame resistance performance relative to its counterparts in this study.

关键词： Dry band arcing electrical tracking heat release rate leakage current silicone rubber smoke production rate

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：