Stochastic Control and Pricing for Natural Gas Networks

We propose stochastic control policies to cope with uncertain and variable gas extractions in natural networks. Given historical extraction data, these are optimized produce the real-time inputs for nodal injections pressure regulation rates by compressors valves. describe random network state as a function of inputs, which enables chance-constrained optimization arbitrary topologies. This ensures flow feasibility minimal variation up specified variance criteria. Furthermore, provides foundation pricing scheme networks, improves on deterministic market settlement offering compensations assets their contribution uncertainty control. analyze economic properties, including efficiency, revenue adequacy, cost recovery, proposed make them conditioned design.