Work

MATPOWER Optimal Scheduling Tool (MOST) User's Manual

Year: 2016

Type: article

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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.3236531

Authors: Zimmerman, Ray D., Murillo-Sánchez, Carlos E.

Institutions: Cornell University, Universidad Nacional de Colombia

Language: English

Topic: Electric Power System Optimization

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: green

Funders: U.S. Department of Energy, Office of Electricity Delivery and Energy Reliability, National Energy Technology Laboratory, Office of Electricity