MATPOWER Optimal Scheduling Tool (MOST) User's Manual

This is the User's Manual for the MATPOWER Optimal Scheduling Tool (MOST), a 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.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-07-12
DOI
https://doi.org/10.5281/zenodo.3236531
Citations
2
Primary Topic
Electric Power System Optimization
Type
article
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article

MATPOWER Optimal Scheduling Tool (MOST) User's Manual

2 citations
Zenodo (CERN European Organization for Nuclear Research)
Electric Power System Optimization
article

MATPOWER Optimal Scheduling Tool (MOST) User's Manual

article en
2 citations

Abstract

This is the User's Manual for the MATPOWER Optimal Scheduling Tool (MOST), a 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.

Zenodo (CERN European Organization for Nuclear Research)
Cornell University (US), Universidad Nacional de Colombia (CO)
Affordable and clean energy
Openalex Percentile: Top 57%
Electric Power System Optimization
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MATPOWER Optimal Scheduling Tool (MOST) User's Manual · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS