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Electricity Pricing
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Electricity Pricing : Regulated, Deregulated and Smart Grid Systems

Book Details

Format Hardback or Cased Book
ISBN-10 1482251744
ISBN-13 9781482251746
Publisher Taylor & Francis Inc
Imprint CRC Press Inc
Country of Manufacture US
Country of Publication GB
Publication Date Oct 13th, 2014
Print length 244 Pages
Weight 510 grams
Dimensions 16.50 x 24.00 x 2.00 cms
Ksh 30,600.00
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This book presents proven methods for supplying uninterrupted, high-quality power at a reasonable price to the consumer. It covers voltage stability analysis of longitudinal power supply systems using an artificial neural network and explains how to improve performance using FACTS and HVDC. Taking into account operating constraints as well as generation cost, line overload, and congestion for expected and inadvertent loading stress, the text provides multi-objective optimization algorithms for the deregulated power market. It also proposes the use of stochastic optimization techniques in the smart grid.

Electricity Pricing: Regulated, Deregulated and Smart Grid Systems presents proven methods for supplying uninterrupted, high-quality electrical power at a reasonable price to the consumer. Illustrating the evolution of the power market from a monopoly to an open access system, this essential text:

  • Covers voltage stability analysis of longitudinal power supply systems using an artificial neural network (ANN)
  • Explains how to improve performance using flexible alternating current transmission systems (FACTS) and high-voltage direct current (HVDC)
  • Takes into account operating constraints as well as generation cost, line overload, and congestion for expected and inadvertent loading stress
  • Goes beyond FACTS and HVDC to provide multi-objective optimization algorithms for the deregulated power market
  • Proposes the use of stochastic optimization techniques in the smart grid, preparing the reader for future development

Electricity Pricing: Regulated, Deregulated and Smart Grid Systems

offers practical solutions for improving stability, reliability, and efficiency in real-time systems while optimizing electricity cost.


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