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Numerous investigations have been carried out to evaluate microgrid optimal configuration. The main goal of this research is evaluating the positive effect of private investor that contributes in the MG configuration in the planning horizon. The MG operator and private investors are the owners of combined heat and power and intelligent parking lot, respectively. The optimization problem was modeled as a two-objective function. For comprehensive evaluation of the planning problem, reliability indices are considered as problem constraints. To show the effects of demand side management in reducing operational costs, several types of demand response programs are used. In the first stage, a bi-objective function is converted to a single objective function by utilizing the weighted sum technique and in the second stage, the best solution is chosen among all Pareto solutions employing max–min fuzzy decision-making method. To reduce problem complexity, SCENRED tools of GAMS software are used to reduce the number of scenarios. The results revealed that in TOU-based DRP, the total cost of MGO and private investor are reduced by 4.28%, 2.67%, respectively.

Employing Several Kinds of Demand Response Programs to Optimal Eco Emission Planning of Microgrid