A microgrid is as unique as the business, community or government institution that deploys one. The solution is never "one-size-fits-all". By understanding an organization's needs and requirements, microgrid developers can identify the applications and assets needed to custom engineer an appropriate solution.
A recently commissioned microgrid at Ft. Custer in Michigan is helping reduce the overall cost required to achieve energy resilience goals at sites where military installations are closely located. This presentation will examine the challenges associated with deploying grid-dependent power systems and the steps taken to help the DoD achieve a secure, reliable and easily replicable microgrid system.
Many governments and institutions look to microgrids for financial benefits. A modular, repeatable approach requires less engineering, implementation and testing and thus improves overall cost effectiveness, in addition to shorter project cycles for faster turnkey implementation. During the session, attendees will gain an understanding of the repeatable approach combined with virtual microgrid modeling resulted in project management benefits.
Further, it is critical to explore many factors when developing a microgrid system – the existing electrical infrastructure, load profile and growth, utility rates, existing generation assets, generator control capabilities, etc. The speaker will explain how to assess the full breadth and depth of standard microgrid concerns while defining the unique and specific details appropriate for each potential implementation case, highlighting the importance of utilizing existing assets to maximize cost effectiveness.
The speaker will also explore how the demonstration microgrid was engineered to enhance power surety, energy resilience, distributed generation management and demand response, while contributing to the critical power needs of nearby military installations. Attendees will learn about the testing of advanced microgrid control features, such as automated power quality management, real-time response to grid conditions, and control of energy storage assets.
Nathan Justice– Application Engineer, Eaton