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Titlebook: Control and Measurement Applications for Smart Grid; Select Proceedings o Sathans Suhag,Chitralekha Mahanta,Sukumar Mishra Conference proce

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發(fā)表于 2025-3-21 19:15:04 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Control and Measurement Applications for Smart Grid
副標(biāo)題Select Proceedings o
編輯Sathans Suhag,Chitralekha Mahanta,Sukumar Mishra
視頻videohttp://file.papertrans.cn/238/237329/237329.mp4
概述Presents cutting-edge research in micro, nano, and smart devices and system.A unique collection of chapters from academicians, researchers and practitioners.Consists papers on adaptive control and int
叢書(shū)名稱(chēng)Lecture Notes in Electrical Engineering
圖書(shū)封面Titlebook: Control and Measurement Applications for Smart Grid; Select Proceedings o Sathans Suhag,Chitralekha Mahanta,Sukumar Mishra Conference proce
描述.The book contains select proceedings of the International Conference on Smart Grid Energy Systems and Control (SGESC 2021). The proceedings is divided into 03 volumes, and this volume focuses on adaptive control and intelligent sensors, wide-area measurements, and applications in the smart grid. This book includes papers on topics such as SMART sensors, vision sensors, sensor fusion, wireless sensors, and the internet of things, MEMS, Mechatronics, Remote sensing, telemetry, and its applications in automated vehicle control. This book is a unique collection of chapters from different areas with a common theme and will be immensely useful to academic researchers and practitioners in the industry..
出版日期Conference proceedings 2022
關(guān)鍵詞Solar Energy; Wind Energy; Optimization, Smart Grid; Distributed Generation; FACTS; Renewable Energy Syst
版次1
doihttps://doi.org/10.1007/978-981-16-7664-2
isbn_softcover978-981-16-7666-6
isbn_ebook978-981-16-7664-2Series ISSN 1876-1100 Series E-ISSN 1876-1119
issn_series 1876-1100
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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Humankapital und menschliche Interaktion,ts show that the ANN based AGC provides better performance than conventional methods for two-area nuclear-thermal power system. The control method ensures that the value of error in system frequency and tie-lines power flow is maintained within the limits. These controllers are simulated in MATLAB/S
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https://doi.org/10.1007/978-3-658-21288-9) technique has been trained on 25 different climatic regions of India and has been used to predict irradiance for Chandigarh, India. The proposed approach has yielded that surface pressure (SP), wind speed (WS), year (Y) are the most insignificant variables, whereas Clearness Index (CI), maximum te
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Combination BFPSO Tuned Intelligent Controller for Maximum Power Point Tracking in Solar Photovolta Also, the proposed combination BFPSO tuned ANN controller is evaluated through means of predictable procedures like Particle Swarm Optimization (PSO), Bacterial Foraging Optimization Algorithm (BFOA). The simulation part of the proposed work is carried out in MATLAB/SIMULINK software.
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Artificial Neural Network-Based Automatic Generation Control for Two-Area Nuclear-Thermal System,ts show that the ANN based AGC provides better performance than conventional methods for two-area nuclear-thermal power system. The control method ensures that the value of error in system frequency and tie-lines power flow is maintained within the limits. These controllers are simulated in MATLAB/S
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