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Titlebook: Wind Power Systems; Applications of Comp Lingfeng Wang,Chanan Singh,Andrew Kusiak Book 2010 Springer-Verlag Berlin Heidelberg 2010 Generato

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书目名称Wind Power Systems
副标题Applications of Comp
编辑Lingfeng Wang,Chanan Singh,Andrew Kusiak
视频video
概述Contains the latest research in the area of wind power systems with computational intelligence applied.Written by experts in the field.Up-to-date resource discussing many typical applications of compu
丛书名称Green Energy and Technology
图书封面Titlebook: Wind Power Systems; Applications of Comp Lingfeng Wang,Chanan Singh,Andrew Kusiak Book 2010 Springer-Verlag Berlin Heidelberg 2010 Generato
描述.Renewable energy sources such as wind power have attracted much attention because they are environmentally friendly, do not produce carbon dioxide and other emitants, and can enhance a nation’s energy security. For example, recently more significant amounts of wind power are being integrated into conventional power grids. Therefore, it is necessary to address various important and challenging issues related to wind power systems, which are significantly different from the traditional generation systems. This book is a resource for engineers, practitioners, and decision-makers interested in studying or using the power of computational intelligence based algorithms in handling various important problems in wind power systems at the levels of power generation, transmission, and distribution....Researchers have been developing biologically-inspired algorithms in a wide variety of complex large-scale engineering domains. Distinguished from the traditional analytical methods,the new methods usually accomplish the task through their computationally efficient mechanisms. Computational intelligence methods such as evolutionary computation, neural networks, and fuzzy systems have attracted
出版日期Book 2010
关键词Generator; Signal; algorithm; algorithms; computational intelligence; control; electrical engineering; fuzz
版次1
doihttps://doi.org/10.1007/978-3-642-13250-6
isbn_softcover978-3-642-26363-7
isbn_ebook978-3-642-13250-6Series ISSN 1865-3529 Series E-ISSN 1865-3537
issn_series 1865-3529
copyrightSpringer-Verlag Berlin Heidelberg 2010
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,Optimal Allocation of Power-Electronic Interfaced Wind Turbines Using a Genetic Algorithm – Monte Climit requirements. The method combines the Genetic Algorithm (GA), gradient-based constrained nonlinear optimization algorithm and sequential Monte Carlo simulation (MCS). The GA searches for the optimal locations and capacities of WTs. The gradient-based optimization finds the optimal power factor
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Global Optimization of Wind Farms Using Evolutive Algorithms,s both the initial costs of acquisition and installation of equipment (initial investment) and the yearly cash flow. This cash flow is calculated as the difference between the incomes due to the energy selling and the ordinary maintenance and operation costs, along the whole lifespan of the wind far
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Wind Turbine Diagnostics Based on Power Curve Using Particle Swarm Optimization,o-one mapping property in its inversion. The dynamic fitting is optimized by particle swarm optimization (PSO) algorithm. IDCD simplifies abnormality detection with a scaler decision threshold. Some failures are predictable such as some major component failure, which causes degradation; other failur
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An ANN-Based Power System Emergency Control Scheme in the Presence of High Wind Power Penetration,control is presented. The impact of wind power fluctuation on system frequency, voltage and frequency gradient is analyzed, the need for the revising of tuning strategies for frequency protective relays, automatic under-frequency load shedding (UFLS) and under-voltage load shed-ding (UFLS) relays ar
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