MicroGrid Online Management and Balancing Using Multiobjective Optimization

This paper presents a generalized formulation to determine the optimal operating strategy and cost optimization scheme as well as the reduction of the emissions for a MicroGrid (MG). Multiobjective (MO) optimization is applied to the environmental/economic problem of the MG. The proposed problem is formulated as a nonlinear constrained MO optimization problem. The model takes into consideration the operation and maintenance costs as well as the emissions NOx, SO₂, and CO₂ reduction. The MG considered in this paper consists of a wind turbine, a micro turbine , a diesel generator , a photovoltaic array , a fuel cell, and a battery storage. The optimization is aimed at minimizing the operating cost of the system while constraining it to meet the costumer demand and safety of the system. We also added a daily income and outgo from sold and purchased power. The results demonstrate the efficiency of the proposed approach to satisfy the load and to reduce the cost and the emissions in one single run.