Abstract
This paper presents intelligent energy management with penetration of Distributed Generation (DG) and Electric Vehicles (EVs). The envisaged problem is a hard combinatorial Mixed-Integer Linear Programming (MILP) problem due to the continuous, discrete, and binary variables. The proposed problem focuses on minimizing the electricity cost. The MILP problem is modelled with a deterministic technique, namely TOMLAB, using a CPLEX solver. This paper includes a realistic case study using data collected from two real buildings facilities (consumption and generation profiles).
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