Optimal sizing of Distributed Energy Resources
(DERs) in a typical microgrid is a complex multi-objective
problem. The multi-objective optimization problem modeling
plays important role in DERs planning. In this paper, the
Pareto front solutions is proposed as a multi-objective problem
formulation in order to optimal sizing of DERs. Based on
Pareto front solutions each objective function has a dimension
and considered independently. As a result all of the objectives
effect in planning problem as important as it is. Investment
costs, emission pollution and power loss considered as three
objective as well as three dimension in this paper. The DERs
planning formulated as an optimization problem that solved
using Genetic Algorithm (GA) under technical and economic
constraints. The proposed methodology is applied to a typical
microgrid under both grid connected and standalone operation
modes. The simulation results show the effectiveness of the
proposed methodology.