An Advanced Multicarrier Residential Energy Hub System Based on Mixed Integer Linear Programming

Distributed energy resource system optimisation using mixed integer linear programming

In this study a mixed integer linear programming (MILP) model is created for the design (i.e. technology selection, unit sizing, unit location, and distribution network structure) of a distributed energy system that meets the electricity and heating demands of a cluster of commercial and residential buildings while minimising annual investment and operating cost. The model is used to analyse th...

RESOLUTION METHOD FOR MIXED INTEGER LINEAR MULTIPLICATIVE-LINEAR BILEVEL PROBLEMS BASED ON DECOMPOSITION TECHNIQUE

In this paper, we propose an algorithm base on decomposition technique for solvingthe mixed integer linear multiplicative-linear bilevel problems. In actuality, this al-gorithm is an application of the algorithm given by G. K. Saharidis et al for casethat the rst level objective function is linear multiplicative. We use properties ofquasi-concave of bilevel programming problems and decompose th...

Noncommercial Software for Mixed-Integer Linear Programming

We present an overview of noncommercial software tools for the solution of mixed-integer linear programs (MILPs). We first review solution methodologies for MILPs and then present an overview of the available software, including detailed descriptions of eight software packages available under open-source or other noncommercial licenses. Each package is categorized as a black-box solver, a calla...

Inference-Based Sensitivity Analysis for Mixed Integer/Linear Programming

A new method of sensitivity analysis for mixed integer linear programming MILP is derived from the idea of inference duality The inference dual of an optimization problem asks how the optimal value can be deduced from the constraints In MILP a deduction based on the resolution method of theorem proving can be obtained from the branch and cut tree that solves the primal problem One can then inve...

Application-oriented mixed integer non-linear programming