Cost-Emission Control Based Physical-Resilience Oriented Strategy for Optimal Allocation of Distributed Generation in Smart Microgrid

Optimal design, control and management of distributed generations (DGs) such as wind, photovoltaic (PV), and diesel generators can increase the system stability and resilience of the future smart microgrids (MGs). Also, the integration of wind and solar energy can reduce pollution and greenhouse gas emissions. However, the control, sizing and placement of DG in the power system poses a significant challenge. This study proposes a multi-objective Gray Wolf optimization (MOGWO) model for optimal placement of DG in a smart MG. The objectives include minimizing the economic costs, greenhouse gas emissions, and pollution of the entire system. The IEEE 30 system is used to validate the proposed model. Simulation outcomes show that the suggested plan is cost effective and can find the optimal DG placement with the minimum air pollution.