Stochastic Optimal Control for Gas Networks
- Type: Archived Webinar
We present a stochastic optimal control model to optimize gas network inventories in the face of system uncertainties. The model captures detailed network dynamics and operational
constraints and uses a weighted risk-mean objective. We perform a degrees-of-freedom analysis to assess operational flexibility and to determine conditions for model consistency.
We compare the control policies obtained with the stochastic model against those of deterministic and robust counterparts. In addition, we demonstrate that the use of risk metrics can help operators to systematically mitigate system volatility. Moreover, we discuss computational scalability issues and effects of discretization resolution on economic
Do you already own this?
Log In for instructions on accessing this content.
|AIChE Member Credits||0.5|
|AIChE Undergraduate Student Members||Free|
|AIChE Graduate Student Members||Free|