TY - JOUR
T1 - Fuzzy-Enforced Complementarity Constraints in Nonlinear Interior Point Method-Based Optimization
AU - Song, Hwa Chang
PY - 2013/9
Y1 - 2013/9
N2 - This paper presents a fuzzy set method to enforce complementarity constraints (CCs) in a nonlinear interior point method (NIPM)-based optimization. NIPM is a Newton-type approach to nonlinear programming problems, but it adopts log-barrier functions to deal with the obstacle of managing inequality constraints. The fuzzy-enforcement method has been implemented for CCs, which can be incorporated in optimization problems for real-world applications. In this paper, numerical simulations that apply this method to power system optimal power flow problems are included.
AB - This paper presents a fuzzy set method to enforce complementarity constraints (CCs) in a nonlinear interior point method (NIPM)-based optimization. NIPM is a Newton-type approach to nonlinear programming problems, but it adopts log-barrier functions to deal with the obstacle of managing inequality constraints. The fuzzy-enforcement method has been implemented for CCs, which can be incorporated in optimization problems for real-world applications. In this paper, numerical simulations that apply this method to power system optimal power flow problems are included.
U2 - 10.5391/IJFIS.2013.13.3.171
DO - 10.5391/IJFIS.2013.13.3.171
M3 - Article
SN - 1598-2645
VL - 13
SP - 171
EP - 177
JO - International Journal of Fuzzy Logic and Intelligent Systems
JF - International Journal of Fuzzy Logic and Intelligent Systems
IS - 3
ER -