Optimal eco-emission scheduling of a microgrid by considering uncertainties

This paper describes a scheduling problem formulation to optimize and trade-off economic and emission (Eco-Emission) costs of a microgrid (MG). This MG includes solar parking lots (SPL) and local distributed generation (LDG) with a grid-connected bus to exchange power. The output of this work is an operation instruction that is applicable for the operator of MG. This MG operator (MGO), located in the control center of MG, could select either limited power exchange or unlimited power exchange with the main grid. These conditions are considered as two scenarios for the scheduling problem. The proposed bi-objective eco-emission problem is solved by using the $varepsilon$-constraint and max-min fuzzy decision-making method. In the last section, the input/output power of MG has been studied taking into account demand response (DR). The simulation of the presented framework is carried out in GAMS software. As investigated the obtained results, exchange power with a main grid has a positive effect in decreasing total emission and economic cost of the MG.