Mixed integer programming formulation techniques and applications to unit commitment problem

Title: Mixed integer programming formulation techniques and applications to unit commitment problem
Creator: Viswanath, Aparna; Goel, Lalit; Peng, Wang
Publisher Link: http://dx.doi.org/10th International Power and Energy Conference (IPEC 2012). Proceedings of the 10th International Power & Energy Conference (Ho Chi Minh City, Vietnam 12-14 December, 2012) p. 25-30
Publisher Link: http://dx.doi.org/10.1109/ASSCC.2012.6523233
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Resource Type: conference paper
Date: 2012
Description: Unit Commitment (UC) problem with non-linear functions and probabilistic constraints are difficult to solve by standard optimization methods. This paper provides an introduction to mixed integer programming problem formulation techniques and its applications to UC problem. Use of binary variables to convert nonlinear functions and probabilistic constraints to a Mixed Integer linear programming (MILP) form are presented. This conversion helps in solving the UC problem by using commercially available MILP solvers.
Subject: mixed integer linear programming; non-linear functions; probabilistic constraints; binary variables; unit commitment
Identifier: http://hdl.handle.net/1959.13/1309142
Identifier: uon:21786
Identifier: ISBN:9781467345842
Language: eng
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