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An Approximate Dynamic Programming Algorithm for the Allocation of High-Voltage Transformer Spares in the Electric Grid
| Content Provider | Semantic Scholar |
|---|---|
| Author | Enders, Johannes |
| Copyright Year | 2009 |
| Abstract | This paper addresses the problem of allocating high-voltage transformer spares 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. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.castlelab.princeton.edu/Papers/Enders-TwoStageMay252009.pdf |
| Alternate Webpage(s) | http://castlelab.princeton.edu/Papers/Enders-TwoStageMay252009.pdf |
| Alternate Webpage(s) | http://castlelab.princeton.edu/html/Papers/Enders-TwoStageMay252009.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Addresses (publication format) Allocation Approximation algorithm Bellman equation Cardiomyoplasty Computable function Computation Deploy Dynamic programming Heuristic Large Liver Failure, Acute Numerous Purchasing Software deployment Solutions Surgical Replantation Transformer USB On-The-Go voltage |
| Content Type | Text |
| Resource Type | Article |
