Smart utility systems for rural electric cooperatives

Abstract

Rural communities are facing pressure to increase broadband connectivity for their residents to maintain economic growth, however, due to their low populations, broadband projects are typically not financially feasible with current investment models. The Post Road Foundation project team evaluated the financial feasibility of distributed wind and solar energy resources for Presque Isle Electric and Gas (PIEG), a utility cooperative in Northern Michigan. The team identified that solar installations for Commercial and Industrial customers in the 250kW range could be financially viable due to increased array sizes and rate structure incentives. In order to further test the feasibility of solar and battery arrays for larger utility customers, the team built a long short term recurrent neural network to aid in prediction of future load profile. This load profile was used to optimize solar array and battery size to minimize capital investment costs and reduce payback periods.

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Document Details

Document Type
Technical Report
Publication Date
May 08, 2019
Accession Number
AD1079944

Entities

People

  • Elizabeth Foster
  • Liwei L Chen
  • Zihao Zhang

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Capital Investments
  • Data Sets
  • Electric Power
  • Electricity
  • Emerging Technology
  • Energy Storage
  • Machine Learning
  • Neural Networks
  • Operating Systems
  • Recurrent Neural Networks
  • Renewable Energy
  • Solar Energy
  • Solar Panels
  • United States
  • Wind Energy
  • Wind Turbines

Readers

  • Electrical Engineering
  • Industrial Economics
  • Space Exploration and Orbital Mechanics.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • AI & ML - Neural Networks