MOST
Version 1.1 08-Oct-2020
The MATPOWER Optimal Scheduling Tool (MOST) is framework for solving
generalized steady-state electric power scheduling problems.
MOST can be used to solve problems as simple as a deterministic,
single period economic dispatch problem with no transmission
constraints or as complex as a stochastic, security-constrained,
combined unit-commitment and multiperiod optimal power flow problem
with locational contingency and load-following reserves, ramping
costs and constraints, deferrable demands, lossy storage resources
and uncertain renewable generation.
While the problem formulation is general and incorporates a full
nonlinear AC network model, the current implementation is limited
to DC power flow modeling of the network. Some work has been done
on an AC implementation, but it is not yet ready for release.
The primary developers of MOST are Carlos E. Murillo-Sanchez and
Ray D. Zimmerman, with significant contributions from
Daniel Munoz-Alvarez and Alberto J. Lamadrid. It is built on top of
MATPOWER, a package of MATLAB/Octave M-files for solving power flow
and optimal power flow problems.
The latest version of MOST can be found on GitHub at:
https://github.com/MATPOWER/most
MOST is covered by the 3-clause BSD License (see LICENSE for details).