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Titlebook: Nature Inspired Optimization for Electrical Power System; Manjaree Pandit,Hari Mohan Dubey,Jagdish Chand Ban Book 2020 The Editor(s) (if a

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發(fā)表于 2025-3-21 16:50:49 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Nature Inspired Optimization for Electrical Power System
編輯Manjaree Pandit,Hari Mohan Dubey,Jagdish Chand Ban
視頻videohttp://file.papertrans.cn/663/662010/662010.mp4
概述Presents a wide range of optimization methods and their applications.Discusses the merits of nature inspired optimization algorithms compared to traditional optimization methods.Offers a valuable refe
叢書名稱Algorithms for Intelligent Systems
圖書封面Titlebook: Nature Inspired Optimization for Electrical Power System;  Manjaree Pandit,Hari Mohan Dubey,Jagdish Chand Ban Book 2020 The Editor(s) (if a
描述.This book presents a wide range of optimization methods and their applications to various electrical power system problems such as economical load dispatch, demand supply management in microgrids, levelized energy pricing, load frequency control and congestion management, and reactive power management in radial distribution systems. Problems related to electrical power systems are often highly complex due to the massive dimensions, nonlinearity, non-convexity and discontinuity associated with objective functions. These systems also have a large number of equality and inequality constraints, which give rise to optimization problems that are difficult to solve using classical numerical methods. In this regard, nature inspired optimization algorithms offer an effective alternative, due to their ease of use, population-based parallel search mechanism, non-dependence on the nature of the problem, and ability to accommodate non-differentiable, non-convex problems. The analytical model ofnature inspired techniques mimics the natural behaviors and intelligence of life forms. These techniques are mainly based on evolution, swarm intelligence, ecology, human intelligence and physical scienc
出版日期Book 2020
關鍵詞Nature Inspired Optimization; Economic Load Dispatch; Renewable Energy Resources; Competitive Electrici
版次1
doihttps://doi.org/10.1007/978-981-15-4004-2
isbn_softcover978-981-15-4006-6
isbn_ebook978-981-15-4004-2Series ISSN 2524-7565 Series E-ISSN 2524-7573
issn_series 2524-7565
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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https://doi.org/10.1007/978-981-15-4004-2Nature Inspired Optimization; Economic Load Dispatch; Renewable Energy Resources; Competitive Electrici
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發(fā)表于 2025-3-22 02:01:26 | 只看該作者
978-981-15-4006-6The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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Nature Inspired Optimization for Electrical Power System978-981-15-4004-2Series ISSN 2524-7565 Series E-ISSN 2524-7573
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Mixed-Integer Differential Evolution Algorithm for Optimal Static/Dynamic Scheduling of a Microgrid as binary variables is used to solve the optimal dispatch problem with various equality, inequality and binding dynamic constraints. The developed model is tested on a modified five DER microgrid, and its performance is validated by using binary PSO and existing results from the literature.
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發(fā)表于 2025-3-22 17:57:39 | 只看該作者
NSGA-II Based Reactive Power Management in Radial Distribution System Integrated with DGs,i-objective reactive power management results with those obtained using multi-objective dragonfly algorithm, multi-objective differential evolution algorithm, and modified differential evolution algorithm.
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Book 2020spatch, demand supply management in microgrids, levelized energy pricing, load frequency control and congestion management, and reactive power management in radial distribution systems. Problems related to electrical power systems are often highly complex due to the massive dimensions, nonlinearity,
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