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An Approximate Dynamic Programming Algorithm for the Allocation of High-Voltage Transformer Spares in the Electric Grid

  • Johannes Enders
  • Warren B. Powell
  • David Egan
Chapter
Part of the Energy Systems book series (ENERGY)

Abstract

This paper addresses the problem of allocating high-voltage transformer spares (not installed) throughout the electric grid to mitigate the risk of random transformer failures. With this application we investigate the use of approximate dynamic programming (ADP) for solving large scale stochastic facility location problems. The ADP algorithms that we develop consistently obtain near optimal solutions for problems where the optimum is computable and outperform a standard heuristic on more complex problems. Our computational results show that the ADP methodology can be applied to large scale problems that cannot be solved with exact algorithms.

Keywords

Approximate dynamic programming location analysis spare transformer allocation transformer replacement transformer spares two-stage stochastic optimization 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Johannes Enders
    • 1
  • Warren B. Powell
    • 1
  • David Egan
    • 2
  1. 1.Department of Operations Research and Financial EngineeringPrinceton UniversityPrincetonUSA
  2. 2.PJM InterconnectionPhiladelphiaUSA

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