Smart Micro-Grid Energy Management Controls for Improved Energy Efficiency and Renewable Energy Integration at DoD Installations

EW-200937

Objective

The current state-of-the-art power grid includes minimal renewable or clean energy, no intelligent distribution, minimal or no energy storage, ad hoc dispatch, uncontrolled load demands, and excessive distribution losses. Microgrids may serve as local power networks that utilize distributed energy resources (DER) and manage the local energy supply and demand. While microgrids would typically operate connected to the national bulk power transmission and distribution system, they can have the ability to disconnect from the grid and function in 'island mode' when necessary. The objective of this project is to demonstrate advanced microgrid control technologies capable of improving energy efficiency, expanding use of renewables, and increasing energy security for the Department of Defense (DoD).

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Technology Description

The microgrid control system (MCS) designed by GE for this demonstration will manage and control the complicated interactions among heat and electrical power generation, power demand, energy storage, and power distribution and delivery. The MCS can optimize energy usage and offers energy security by managing backup power operation for critical loads in the event the microgrid disconnects from the bulk grid (islanded). The advanced control and optimization functions include optimal dispatch of distributed generation (DG) power resources (including renewable and energy storage), load shedding, islanded operation, and energy efficiency optimization by simultaneously controlling DG for maximum efficiency and managing the major electrical loads. The important technology contributions to improving energy efficiency and increasing energy security are (1) the ability to include various assets such as renewables, combined heat and power units, electrical and thermal storage, and controllable loads as energy management resources; (2) the ability to include future predicted values of loads, renewable generation, and fuel and electricity prices in the optimization process; (3) the ability to automatically commit / de-commit distributed energy resources (DER) as needed; and (4) the use of a predictive control strategy to address renewable generation intermittency. The system considers and combines all of these activities into an optimal dispatch model that provides advisory to operators or automated control of the micorgrid system.

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Benefits

Implementation of this technology may lead to improved energy efficiency and reduced fossil fuel use, increased energy security and power system reliability that enables continuous military base operation, and reduced carbon footprint and carbon dioxide emissions. The technology is scalable (i.e., it can handle small [several hundred kilowatt] to large [several tens of megawatts] microgrids) and is transferrable to multiple DoD installations that contain various types of renewable resources. (Anticipated Project Completion - 2013)

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Points of Contact

Principal Investigator

Dr. Sumit Bose

GE Global Research

Phone: 518-387-5353

Program Manager

Energy and Water

SERDP and ESTCP

Document Types

  • Fact Sheet - Brief project summary with links to related documents and points of contact.
  • Final Report - Comprehensive report for every completed SERDP and ESTCP project that contains all technical results.
  • Cost & Performance Report - Overview of ESTCP demonstration activities, results, and conclusions, standardized to facilitate implementation decisions.
  • Technical Report - Additional interim reports, laboratory reports, demonstration reports, and technology survey reports.
  • Guidance - Instructional information on technical topics such as protocols and user’s guides.
  • Workshop Report - Summary of workshop discussion and findings.
  • Multimedia - On demand videos, animations, and webcasts highlighting featured initiatives or technologies.
  • Model/Software - Computer programs and applications available for download.
  • Database - Digitally organized collection of data available to search and access.