Medium Term Hydroelectric Production Planning - A Multistage Stochastic Optimization Model

Document Type : Research Papers


1 PhD Candidate, Institute of Statistics and Operations Research (ISOR), University of Vienna, Vienna, Austria.

2 PhD, Institute of Statistics and Operations Research (ISOR), University of Vienna, Vienna,Austria.


Multistage stochastic programming is a key technology for making decisions over time in an uncertain environment. One of the promising areas in which this technology is implementable, is medium term planning of electricity production and trading where decision makers are typically faced with uncertain parameters (such as future demands and market prices) that can be described by stochastic processes in discrete time. We apply this methodology to hydrosystem operation assuming random electricity prices and random inflows to the reservoir system. After describing the multistage stochastic model a simple case study is presented. In particular we use the model for pricing an electricity delivery contract in the framework of indifference pricing.


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