Description

Book Synopsis

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


Table of Contents

Prologue. Background and Literature Survey. Analysis of Voltage Stability of Longitudinal Power Supply System Using an Artificial Neural Network. Improvement of System Performances Using FACTS and HVDC. Multi-Objective Optimization Algorithms for Deregulated Power Market. Application of Stochastic Optimization Techniques in the Smart Grid. Epilogue. References. Appendices.

Electricity Pricing

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A Hardback by Sawan Sen, Samarjit Sengupta, Abhijit Chakrabarti

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    View other formats and editions of Electricity Pricing by Sawan Sen

    Publisher: Taylor & Francis Inc
    Publication Date: 13/10/2014
    ISBN13: 9781482251746, 978-1482251746
    ISBN10: 1482251744

    Description

    Book Synopsis

    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


    Table of Contents

    Prologue. Background and Literature Survey. Analysis of Voltage Stability of Longitudinal Power Supply System Using an Artificial Neural Network. Improvement of System Performances Using FACTS and HVDC. Multi-Objective Optimization Algorithms for Deregulated Power Market. Application of Stochastic Optimization Techniques in the Smart Grid. Epilogue. References. Appendices.

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