This paper deals with a classical problem in power system analysis regarding the optimal location and sizing of distributed generators (DGs) in direct current (DC) distribution networks using the mathematical optimization.
Walter Gil-González +3 more
doaj +1 more source
A Mixed-Integer Nonlinear Programming Model for Optimal Reconfiguration of DC Distribution Feeders
This paper deals with the optimal reconfiguration problem of DC distribution networks by proposing a new mixed-integer nonlinear programming (MINLP) formulation.
O. D. Montoya +4 more
doaj +1 more source
Day-Ahead Coordinated Reactive Power Optimization Dispatching Based on Semidefinite Programming
With access to new energy sources, the problem of reactive power optimization and dispatching has become increasingly important for research. However, the reactive power optimization problem is a mixed integer nonlinear optimization problem.
Binbin Xu +7 more
doaj +1 more source
Overview on mixed integer nonlinear programming problems [PDF]
Many optimization problems involve integer and continuous variables that can be modeled as mixed integer nonlinear programming (MINLP) problems. This has led to a wide range of applications, in particular in some engineering areas.
Fernandes, Florbela P. +2 more
core +3 more sources
A Group Rotate-Vector Algorithm for Mixed-Variable Optimization Problems
Many engineering design optimization problems can be represented as mixed-variable optimization problems. This study presents a heuristic approach for solving mixed-variable optimization using rotation and contraction of vectors. The current optimization
Zhongming Li +3 more
doaj +1 more source
Multistage Expansion Co-Planning of Integrated Natural Gas and Electricity Distribution Systems
This paper focuses on expansion co-planning studies of natural gas and electricity distribution systems. The aim is to develop a mixed-integer linear programming (MILP) model for such problems to guarantee the finite convergence to optimality.
Mohammad Jooshaki +4 more
doaj +1 more source
Branch-and-Cut Algorithmic Framework for 0-1 Mixed-Integer Convex Nonlinear Programs
With widespread use of mixed-integer modeling for continuous and discontinuous nonlinear chemical processes, a robust mixed-integer nonlinear optimization algorithm is strongly demanded for the design and operation of chemical processes that achieve ...
Wu, Hao +6 more
core +1 more source
A Generalized Benders Decomposition for Mixed-Integer Nonlinear Programming: Theory and Applications
This paper comprehensively explains how to solve mixed-integer nonlinear programming (MINLP) models using the generalized benders decomposition (GBD) method.
Fadiah Hasna Nadiatul Haq +2 more
doaj +1 more source
Application of mixed integer programming to a large scale logistics problem [PDF]
Integer Programming;Logistics ...
Westerhof, A.J. +2 more
core
Optimizing Supply Chain Design under Demand Uncertainty with Quantity Discount Policy
In typical business situations, sellers usually offer discount schemes to buyers to increase overall profitability. This study aims to design a supply chain network under uncertainty of demand by integrating an all-unit quantity discount policy.
Jung-Fa Tsai +4 more
doaj +1 more source

