Design, Modeling, and Control of Hybrid Energy Storage Systems for DoD Microgrids

Abstract

This project demonstrates the value of integrating optimized energy storage solutions, including multi-asset hybrid energy storage systems (HESS) within DoD microgrids. Proposed solutions improve energy security performance, including critical load coverage for 24 hour and 7 day outage scenarios, as a function of cost vs. similar microgrids without storage. The platform utilized also provides controls techniques to optimize and improve revenues, including those from energy market participation. Storage technologies evaluated included ultracapacitor, lithium ion, LiFePO4, zinc hybrid cathode, sodium sulfur, and flow battery technologies. An optimized microgrid and energy storage platform with integrated analytics and controls was utilized to evaluate potential HESS solutions. The approach combines economic optimization through the XENDEE platform and ASU's energy security model (ESM) to evaluate energy asset portfolios, critical load coverage probability, economic performance, and asset dispatch strategies. Project conclusions are that (1) three primary factors dominate economic performance: microgrid cost, available on-site PV generation, and local utility wholesale market participation and ancillary service revenues; and (2) optimizing the entire microgrid, with a focus on the optimizing sizing and integration of PV generation with energy storage can provide significantly improved economics.

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Document Details

Document Type
Technical Report
Publication Date
May 04, 2020
Accession Number
AD1135051

Entities

People

  • James Nelson
  • Kelsey Fahey
  • Nathan G. Johnson
  • Timothy Hansen
  • Zach Pecenak

Organizations

  • Arizona State University
  • Southern Research

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Backup Systems
  • Cost Reductions
  • Department Of Defense
  • Diesel Fuels
  • Economics
  • Energy
  • Energy Management
  • Energy Production
  • Energy Security
  • Energy Storage
  • Energy Systems
  • Fuel Consumption
  • Generators
  • Load Monitoring
  • Model Predictive Control
  • Simulations

Readers

  • Computational Modeling and Simulation
  • Energy Conservation and Renewable Energy Engineering.