This paper presents the strategy design, development, and detailed simulation of
an Energy Management System (EMS) for a range extender energy storage microgrid
project. Initially, a microgrid system model including photovoltaic (PV) and
energy storage devices was established. Secondly, the Latin Hypercube Sampling
(LHS) method was employed to generate possible operational scenarios, and an
improved K-means clustering algorithm was used for scenario classification.
Subsequently, a series of constraints were constructed for the economic
viability of the microgrid to minimize its annualized comprehensive cost, while
satisfying power balance and equipment operation. Finally, the microgrid system
was simulated and solved using the GUROBI solver, covering cost analyses of the
energy storage system and diesel generators under different configurations, as
well as the State of Charge (SOC) variations of the energy storage system. The
simulation results indicate that, after considering the one-time investment
costs of PV, battery cells, and Power Conversion Systems (PCS), the microgrid
under different modes can pay back within a few years, while the diesel storage
simulation results provide a detailed cost analysis under various diesel
generator configurations. These results provide important reference for the
planning, design, and economic assessment of microgrids, proving the potential
of energy storage microgrids in improving energy efficiency, reducing costs, and
promoting the use of renewable energy.