Sustainable Production-Consumption of the Microgrids: An Optimal Approach for Industrial Area

Abstract

Supplying the electrical energy demand of the industrial areas through the microgrid (MG) structure can increase the sustainable development indices in the electrical energy systems. Some of the MG’s load is met through renewable energy sources (RESs) regarding which the pollution emission of the system decreases. Also, the MG operator (MGO) can decrease the operation cost of the system using the optimal scheduling of the electrical energy storages (EESs) and the shiftable loads. In the end, since there are several energy resources in the MG, the MGO can meet the MG’s demand with a minimum amount of the energy not supplied (ENS). In this paper, a tri-objective function optimization model is developed for the energy management problem of an MG to minimize the operation cost, the pollution emission, and the ENS. The weighted goal programming approach is used to transform the proposed tri-objective function into a mixed-integer linear programming (MILP) model which can be solved through the CPLEX solver. To investigate the effectiveness of the proposed model and its solution approach, it is applied to an industrial MG. The results show that the MGO makes optimal decisions to schedule the MG’s resources.