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Titlebook: Distributed Linear Programming Models in a Smart Grid; Prakash Ranganathan,Kendall E. Nygard Book 2017 Springer International Publishing A

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书目名称Distributed Linear Programming Models in a Smart Grid
编辑Prakash Ranganathan,Kendall E. Nygard
视频videohttp://file.papertrans.cn/282/281915/281915.mp4
概述The only book to focus on Linear Programming Methods for Cyber Physical Systems;.Features AMPL codes that show how to formulate IEEE test grid systems;.Includes code that can be used to tackle problem
丛书名称Power Electronics and Power Systems
图书封面Titlebook: Distributed Linear Programming Models in a Smart Grid;  Prakash Ranganathan,Kendall E. Nygard Book 2017 Springer International Publishing A
描述This book showcases the strengths of Linear Programming models for Cyber Physical Systems (CPS), such as the Smart Grids. Cyber-Physical Systems (CPS) consist of computational components interconnected by computer networks that monitor and control switched physical entities interconnected by physical infrastructures. A fundamental challenge in the design and analysis of CPS is the lack of understanding in formulating constraints for complex networks. We address this challenge by employing collection of Linear programming solvers that models the constraints of sub-systems and micro grids in a distributed fashion..The book can be treated as a useful resource to adaptively schedule resource transfers between nodes in a smart power grid. In addition, the feasibility conditions and constraints outlined in the book will enable in reaching optimal values that can help maintain the stability of both the computer network and the physical systems. It details the collection of optimization methods that are reliable for electric-utilities to use for resource scheduling, and optimizing their existing systems or sub-systems. The authors answer to key questions on ways to optimally allocate resou
出版日期Book 2017
关键词smart grids; cyber physical systems; linear programming based models; linear programming; synchrophasor
版次1
doihttps://doi.org/10.1007/978-3-319-52617-1
isbn_softcover978-3-319-84948-5
isbn_ebook978-3-319-52617-1Series ISSN 2196-3185 Series E-ISSN 2196-3193
issn_series 2196-3185
copyrightSpringer International Publishing AG 2017
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Literature Review,) modeling often concerns finding the best quantitative solution for management problems [HL01, Mom01]. The OR methods include mathematical-optimization modeling as simulation, and using OR methods has grown significantly since their origination during World War II. Templeman [Tem91] describes quant
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Resource Allocation Using DW Decomposition,cient solution. The technique has been successfully applied in a variety of contexts [Dan63, Chv83, BJN98]. Implementing DW-decomposition-based algorithms poses various challenges. The primary constraint revolves around convergence of the dual-bound computations and, in the context of integer progra
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A Linear Classifier for Decision Support in a Smart Grid,llation of smart meters, Plug-in Hybrid Electric Vehicles (PHEV), or Gridable Vehicles (GV), are exponentially growing, the Smart Grid’s data-analytic platform has huge potential (generation, transmission, or distribution) and can play a significant role in the decision-making process for meaningful
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