rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Distributed Linear Programming Models in a Smart Grid
  name:
    name part: Ranganathan, Prakash.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Nygard, Kendall E.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2017
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXV, 213 p. 67 illus., 54 illus. in color. online resource.
  abstract: 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 resources during outages, and contingency cases (e.g., line failures, and/or circuit breaker failures), how to design de-centralized methods for carrying out tasks using decomposition models; and how to quantify un-certainty and make decisions in the event of grid failures. • 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 problems such as resource allocation, decomposition of a major grid into micro grids, and addressing uncertainty under renewable penetration scenarios.
  table of contents: Introduction -- Literature Review -- Energy Reallocation in a Smart Grid -- Resource Allocation Using Branch and Bound -- Resource Allocation Using DW Decomposition -- Implementation and Testing of DW Procedure -- Remarks on DW A Linear Classifier for Decision Support in a Smart Grid -- PMU Placement Problem Using Linear Programming -- Unbiased Optimum Power Flow in Power Systems Using Linear Programming with Wind Generation Models -- Smart Grid Optimization Using a Capacitated Transshipment Problem Solver -- Decomposition of Microgrids in Large Scale Electric Test Beds for Economic Dispatch Optimization -- References.
  note: by Prakash Ranganathan, Kendall E. Nygard.
  subject:
    topic: Energy
  subject:
    topic: Renewable energy resources
  subject:
    topic: Power electronics
  subject:
    topic: Renewable energy sources
  subject:
    topic: Alternate energy sources
  subject:
    topic: Green energy industries
  subject:
    topic: Energy
  subject:
    topic: Renewable and Green Energy
  subject:
    topic: Power Electronics, Electrical Machines and Networks
  classification: TJ807-830
  classification: 621.042
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Power Electronics and Power Systems
  identifier: 9783319526171
  identifier: http://dx.doi.org/10.1007/978-3-319-52617-1
  record info:
    record creation date: 170331
    record change date: 20170425155238.0
    record identifier: 978-3-319-52617-1