资源论文Approximate Dynamic Programming for Storage Problems

Approximate Dynamic Programming for Storage Problems

2020-02-27 | |  62 |   31 |   0

Abstract

Storage problems are an important subclass of stochastic control problems. This paper presents a new method, approximate dynamic programming for storage, to solve storage problems with continuous, convex decision sets. Unlike other solution procedures, ADPS allows math programming to be used to make decisions each time period, even in the presence of large state variables. We test ADPS on the day ahead wind commitment problem with storage.

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