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A mixed-integer quadratically-constrained programming model for the distribution system expansion planning
(Elsevier B.V., 2014-11-01)
This paper presents a mixed-integer quadratically-constrained programming (MIQCP) model to solve the distribution system expansion planning (DSEP) problem. The DSEP model considers the construction/reinforcement of ...
Branch and bound algorithm for transmission network expansion planning using DC model
(2007-12-01)
This paper presents an algorithm to solve the network transmission system expansion planning problem using the DC model which is a mixed non-linear integer programming problem. The major feature of this work is the use of ...
Branch and bound algorithm for transmission network expansion planning using DC model
(2007-12-01)
This paper presents an algorithm to solve the network transmission system expansion planning problem using the DC model which is a mixed non-linear integer programming problem. The major feature of this work is the use of ...
Optimal reconfiguration of electrical distribution systems using mathematical programming
(2014-01-01)
This paper presents a novel mixed integer nonlinear programming (MINLP) model for the reconfiguration problem of electrical distribution systems (EDS), aiming to reduce the active power losses of the system. Two linearization ...
Domain reduction using GRASP construction phase for transmission expansion planning problem
(2012-04-03)
This paper proposes a new strategy to reduce the combinatorial search space of a mixed integer linear programming (MILP) problem. The construction phase of greedy randomized adaptive search procedure (GRASP-CP) is employed ...
Domain reduction using GRASP construction phase for transmission expansion planning problem
(2012-04-03)
This paper proposes a new strategy to reduce the combinatorial search space of a mixed integer linear programming (MILP) problem. The construction phase of greedy randomized adaptive search procedure (GRASP-CP) is employed ...
Effects of binary variables in mixed integer linear programming based unit commitment in large-scale electricity markets
(Elsevier Science SA, 2018-07)
Mixed integer linear programming is one of the main approaches used to solve unit commitment problems. Due to the computational complexity of unit commitment problems, several researches remark the benefits of using less ...