  The proposed open-source Power Market Tool (POMATO) aims to enable research
on interconnected modern and future electricity markets in the context of the
physical transmission system and its secure operation. POMATO has been designed
to study capacity allocation and congestion management (CACM) policies of
European zonal electricity markets, especially flow-based market coupling
(FBMC). For this purpose, POMATO implements methods for the analysis of
simultaneous zonal market clearing, nodal (N-k secure) power flow computation
for capacity allocation, and multi-stage market clearing with adaptive grid
representation and redispatch. The computationally demanding N-k secure power
flow is enabled via an efficient constraint reduction algorithm. POMATO
provides an integrated environment for data read-in, pre- and post-processing
and interactive result visualization. Comprehensive data sets of European
electricity systems compiled from Open Power System Data and Matpower Cases are
part of the distribution. POMATO is implemented in Python and Julia, leveraging
Python's easily maintainable data processing and user interaction features and
Julia's well readable algebraic modeling language, superior computational
performance and interfaces to open-source and commercial solvers.
