Using Generalized Generation Distribution Factors in a MILP Model to Solve the Transmission-Constrained Unit Commitment Problem

Guillermo Gutierrez-Alcaraz and Victor H. Hinojosa
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Guillermo Gutierrez-Alcaraz: Department of Electrical Engineering, Tecnológico Nacional de México/I.T. Morelia, Morelia 58020, Michoacán, México
Victor H. Hinojosa: Department of Electrical Engineering, Universidad Técnica Federico Santa María, Valparaíso 2390123, Chile

Energies, 2018, vol. 11, issue 9, 1-17

Abstract: This study proposes a mixed-integer linear programming (MILP) model to figure out the transmission-constrained direct current (DC)-based unit commitment (UC) problem using the generalized generation distribution factors (GGDF) for modeling the transmission network constraints. The UC problem has been reformulated using these linear distribution factors without sacrificing optimality. Several test power systems (PJM 5-bus, IEEE-24, and 118-bus) have been used to validate the introduced formulation. Results demonstrate that the proposed approach is more compact and less computationally burdensome than the classical DC-based formulation, which is commonly employed in the technical literature to carry out the transmission network constraints. Therefore, there is a potential applicability of the accomplished methodology to carry out the UC problem applied to medium and large-scale electrical power systems.

Keywords: DC optimal power flow; power transfer distribution factors; generalized generation distribution factors; unit commitment (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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