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A Connectivity Constrained MILP Model for Optimal Transmission Switching.
- Source :
- IEEE Transactions on Power Systems; Sep2021, Vol. 36 Issue 5, p4820-4823, 4p
- Publication Year :
- 2021
-
Abstract
- This letter formulates network connectivity as Miller–Tucker–Zemlin (MTZ) constraints and incorporates them into the mixed-integer linear programming (MILP) model for the optimal transmission switching (OTS) problem. The connectivity constraints are linear and for a power network with $n$ buses, $m$ branches, and $d$ loads in pre-contingency or each post-contingency state there are approximately $\mathcal {O}(n+5m+d)$ constraints, and $\mathcal {O}(n)$ continuous and $\mathcal {O}(\text{2 m})$ binary variables, which is much smaller than those in the existing formulations. The MILP OTS model with the proposed connectivity constraints can be readily solved by well-developed MILP solvers. Case studies on the PJM 5-bus system, IEEE 300-bus system, and French 1888-bus system validate the effectiveness of the proposed model. [ABSTRACT FROM AUTHOR]
- Subjects :
- LINEAR programming
ELECTRIC lines
Subjects
Details
- Language :
- English
- ISSN :
- 08858950
- Volume :
- 36
- Issue :
- 5
- Database :
- Complementary Index
- Journal :
- IEEE Transactions on Power Systems
- Publication Type :
- Academic Journal
- Accession number :
- 153188194
- Full Text :
- https://doi.org/10.1109/TPWRS.2021.3089029