Energy Management System for Isolated Microgrids: A Coordinated UC-OPF-Based Stochastic Programming

This paper presents a novel mathematical approach for modelling microgrids' Energy Management System (EMS), administrating distributed energy resources, such as diesel gensets, wind turbines, photovoltaic units, and energy storage systems, optimally and reliably. In the proposed approach, the EMS is designed based on a coordinated Unit Commitment-Optimal Power Flow (UC-OPF) framework, yielding optimal power dispatch decisions for gensets and storage units. In this approach, the UC operational constraints, such as ramp characteristics and minimum up and down times of gensets are considered while the power flow equations are taken into account, simultaneously. Being a severe source of uncertainty, the wind power generation deviation is handled using scenario-based stochastic programming technique. In order to evaluate the proposed system, a complex microgrid based on a CIGRE benchmark is used. The results indicate that the EMS optimal dispatch decisions are highly influenced by the uncertainty of wind generation compared to the deterministic assumptions made for this source of generation.