TY - JOUR
T1 - New cycle-based formulation, cost function, and heuristics for DC OPF based controlled islanding
AU - Tyuryukanov, Ilya
AU - Popov, Marjan
AU - Bos, Jorrit A.
AU - van der Meijden, Mart A.M.M.
AU - Terzija, Vladimir
PY - 2022
Y1 - 2022
N2 - This paper presents a new formulation for intentional controlled islanding (ICI) of power transmission grids based on mixed-integer linear programming (MILP) DC optimal power flow (OPF) model. We highlight several deficiencies of the most well-known formulation for this problem and propose new enhancements for their improvement. In particular, we propose a new alternative optimization objective that may be more suitable for ICI than the minimization of load shedding, a new set of island connectivity constraints, and a new set of constraints for DC OPF with switching, and a new MILP heuristic to find initial feasible solutions for ICI. It is shown that the proposed improvements help to reduce the final optimality gaps as compared to the benchmark model on several test instances.
AB - This paper presents a new formulation for intentional controlled islanding (ICI) of power transmission grids based on mixed-integer linear programming (MILP) DC optimal power flow (OPF) model. We highlight several deficiencies of the most well-known formulation for this problem and propose new enhancements for their improvement. In particular, we propose a new alternative optimization objective that may be more suitable for ICI than the minimization of load shedding, a new set of island connectivity constraints, and a new set of constraints for DC OPF with switching, and a new MILP heuristic to find initial feasible solutions for ICI. It is shown that the proposed improvements help to reduce the final optimality gaps as compared to the benchmark model on several test instances.
KW - Controlled islanding
KW - DC OPF
KW - Heuristics
KW - Integer programming
KW - Network connectivity
UR - http://www.scopus.com/inward/record.url?scp=85134784641&partnerID=8YFLogxK
U2 - 10.1016/j.epsr.2022.108588
DO - 10.1016/j.epsr.2022.108588
M3 - Article
AN - SCOPUS:85134784641
SN - 0378-7796
VL - 212
JO - Electric Power Systems Research
JF - Electric Power Systems Research
M1 - 108588
ER -