local time (mdt) in decimal hours · 3/30/2016 · resources into a hybrid microgrid: to...
TRANSCRIPT
Discussion & Results: In progress.
• Microgrid simulations are being constructed.
• Atmospheric Renewable Energy Field Test #1 (ARE1):
– Coincident atmospheric and photovoltaic power
generation were acquired and analyzed.
– Developed informative atmospheric, power and
photovoltaic panel characterization techniques.
• Subsequent atmospheric measurements were taken along side experimental photovoltaic materials.
• Strengths and challenges for future mobile hybrid microgrids were investigated, based on existing microgrids. Results revealed additional benefits for using such power resources, such as observing solar power as a ‘quiet’ power resource, an attribute welcomed by hospitals.
Path Forward:
• Develop atmospheric characterization schemes to
optimize hybrid microgrid efficiency and power output.
Project Publications:
• Vaucher, G., Berman, M., Smith. J. Atmospheric
Renewable Energy Research, Volume 3: Solar-Power
Microgrids and Atmospheric Influences; ARL-TR-7797;
USARL: WSMR, NM, Sep 2016.
• Vaucher, Atmospheric Renewable Energy Research,
Volume 2: Assessment Process for Solar-Powered
Meteorological Applications; ARL-TR-7762; USARL:
WSMR, NM, Aug 2016.
• Vaucher, Atmospheric Renewable Energy Research,
Volume 1 (“To BE or not To BE”); ARL-TR-7402; USARL:
WSMR, NM, Sep 2015 (Technical Report/ Seminar).
Background:
• Purpose for integrating a diversity of mobile power
resources into a Hybrid Microgrid: To facilitate and
improve uninterrupted electricity flow at isolated and
remotely located sites, such as those serviced during
disaster relief-and-recovery missions.
• Hybrid Microgrids: A power grid consisting of both
traditional and non-traditional (renewable energy)
power generation.
• The atmosphere has a significant impact on the
successful operation of hybrid mobile microgrids.
• Impact examples range from customer power usage
based on weather conditions, to the potential
harvesting of energy from atmospheric resources,
such as solar and wind, for the generation of electrical
power. This research is investigating the latter,
energy harvesting.
General Challenges:
• No ‘standard’ mobile hybrid microgrid.
• Solar power technology is quickly evolving,
consequently:
o End point applications are a moving target;
o Historical research is informative, but not
necessarily applicable to current technology.
• Most atmospheric renewable energy studies are
oriented for utility-scale applications. Utility-grid
requirements differ from isolated, hybrid microgrids.
Research:
• Optimizing solar and non-solar resources, through
current and future atmospheric awareness is the
vision for this research.
• Ensuring transparent transitions (ramping) between
multiple power generation resources is critical. For
hybrids utilizing solar energy, the transitions are
primarily a function of available solar radiation.
• Atmospheric variables being investigated include
solar radiation, aerosols/dust, etc.
Method:
• Test scenarios through Microgrid Simulations.
• Develop in-situ atmospheric characterization
schemes for hybrid microgrid applications.
• Collaborate with the evolving solar power forecasting
researchers, to extract a compatible predictive model
for the remotely located, hybrid power resource.
Microgrid Simulations
• Fair weather cumulus (variable solar power
over an hour time period);
• Cold front (periods of minimum daytime PV
power; 1-4 hour or day-ahead predictions);
• Sandstorms-Blowing Dust/High Wind Days.
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Local Time (MDT) in Decimal Hours
ARE1 Field TestPyranometers (2-Panel and 1-L-REAC(R))
Power From PV, Battery and Load2016 March 30 / Julian Day #90
Power #1 (PV)
Power #2 (Battery)
Power #3 (Load)
Processed Pyr #1 (Zenith)
Processed Pyr #2 (PV Angle)
L-REAC® Data
Frontal Passage
High Wind Day
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Po
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r (W
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Local Time (MDT) in Decimal Hours
ARE1 Field TestPyranometers (2-Panel and 1-L-REAC(R))
Power From PV, Battery and Load2016 March 29 / Julian Day #89
Power #1 (PV)Power #2 (Battery)Power #3 (Load)Processed Pyr #1 (Zenith)Processed Pyr #2 (PV Angle)L-REAC® Data
Hardware in the LoopReal Time Digital Simulation
Power System Design
Adaptive Control
•Power Generation Units
•Power Distribution Units
Reporting•Logistics Planning
•Maintenance ScheduleOPAL-Real Time
Digital Simulation Platform
Fossil Fuel Generators
Renewables (PV)
Storage Batteries
Command
Requirements
Operations
Input
Weather
Data
Agent & Machine
Learning Strategies
Advanced
Closed Loop
Control Analysis
Forecasting Grid
Strategies
Load
Profiles
Hardware In The Loop(HIL)
Iterative Process
Matlab / Simulink
OPAL-Real TimeAllows real-time simulation to determine
real-time execution success.
•Load Profiles
•Tactical Modes
•Mission Goals
Designing Atmospheric Tools for Mobile Hybrid Microgrids
Gail Vaucher
U.S. Army Research Laboratory,
White Sands Missile Range, NM
Approved for Public Release; distribution is unlimited.
Approved for Public Release; distribution is unlimited.