No abstract

This article develops a method to model, analyze, and design military microgrids with the objective to improve their resilience in the face of disconnections from the larger electrical grid. Military microgrids provide power to installation and base facilities to enable base mission objective accomplishments that are related to national security. Previous research, tools, and methods for microgrid design and assessment do not adequately address resilience in terms of accomplishing mission objectives and instead primarily focus on economic outcomes. This article proposes a novel metric to quantify microgrid resilience in terms of its ability to minimize the impact of power disruption on missions supported by the microgrid. The metric is used in a novel design method to ensure an islanded military microgrid can continue operations while disconnected for a two-week duration. Our model examines the ability to continue mission operations subject to various microgrid disruptions as well as equipment reliability.

No abstract

Abstract-This paper presents an optimized energy management system (OEMS) to control the microgrid of a remote temporary military base featuring the diesel generators, the battery energy storage system (BESS) and photovoltaic panels (PV). The information of the expected electric demand is suitably used to improve the sizing and management of the BESS. The OEMS includes power electronics to charge the batteries from either the PV source or the diesel generators, it can function as a current source when it is supplementing the power from one of the generators or as a voltage source when it is the sole source of power for the loads. The novelty in the overall optimization procedure lies (i) in using Special Ordered Sets (SOSs) for the semicontinuous function handling and (ii) in integrating economic evaluations, by properly taking into account how the size of BESS affects its charge/discharge cycle, thus the lifetime. Results from optimization are employed by the OEMS to coordinate the energy sources and match the critical and non critical loads with the available supply. Fuel savings of ≈ 30% (and ≈ 50% adding the PV source) can be achieved with respect to the already improved, but not optimal, solution of a previous work.

No abstract