Team 1709: Utility Grid Enhancement for Deep Integration of - - PowerPoint PPT Presentation

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Team 1709: Utility Grid Enhancement for Deep Integration of - - PowerPoint PPT Presentation

Team 1709: Utility Grid Enhancement for Deep Integration of Distributed Photovoltaic Power Generation Sponsored by: The United Illuminating Company Alsandy Jacot (EE) Derek McCormack (EE) Rahul Vachhani (EE) Joel Velez (EE) Project Advisor:


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Team 1709: Utility Grid Enhancement for Deep Integration

  • f Distributed Photovoltaic Power Generation

Sponsored by: The United Illuminating Company Alsandy Jacot (EE) Derek McCormack (EE) Rahul Vachhani (EE) Joel Velez (EE) Project Advisor: Dr. Peng Zhang

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Overview

  • Background of distributed energy resources (DER)
  • Effects of a DER on a distribution system
  • Team Proposal
  • Conclusion
  • Questions
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DER Background: What is DER?

  • Distributed energy resources (DER) are power sources that can provide

power necessary to meet regular demand.

  • As the electricity grid continues to modernize, DER such as storage and

advanced renewable technologies can help facilitate the transition to a smarter grid.

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DER Background: Why are renewables important ??

  • faster, less expensive option to the construction of large, central power

plants and high-voltage transmission lines.

  • They offer consumers:

○ the potential for lower cost ○ higher service reliability ○ high power quality ○ increased energy efficiency ○ energy independence Environmental Benefits

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DER Background: Types of Distributed Energy Resources

  • Solar Photovoltaic Systems (PV)
  • Combined Heat and Power (CHP)
  • Cogeneration Systems
  • Microgrids
  • Wind-Turbines/Microturbines
  • Fuel Cells
  • Hybrid Power Systems (solar hybrid and wind hybrid systems)
  • Stirling Engines
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DER Background: Types of Distributed Energy Resources Microgrid Wind-Turbines & Microturbines Cogeneration Systems & CHP Solar Photovoltaic Systems (PV)

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Why transition to Solar Photovoltaic Systems (PV) ?

  • The U.S. solar energy industry now employs ~175,000 people (more than the

coal or steel industry).

  • The U.S. solar energy industry has been the fastest-growing industry in the U.S.

in recent years. (It has been creating jobs 10 times faster than the U.S. economy as a whole).

  • Over 5,000 businesses (mostly small businesses) support the solar industry in

the U.S., creating jobs for Americans in every state.

  • 9 out of 10 Americans think we should be developing and using more solar

power.

  • Commercial Residential
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Why transition to Solar Photovoltaic Systems (PV) ?

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Effects of PV integration

  • Overloaded system

○ Due to generation at the tail end of a circuit where the construction is less robust ■ Voltage issues ■ Protection issues

  • Islanding

○ During outage scenarios PV systems may result in an island effect which has the potential to cause temporary voltage spikes.

  • Changes and upgrades to the system to counteract these effects are necessary but can be

extremely expensive. ○ This is especially true if these upgrades are based on the nameplate rating of the PV systems. ■ Typically much higher than the actual output.

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Team Proposal: Objective

Develop a capacity factor prediction tool

Capacity Factor = Predicted PV System Output for a given time Nameplate Rating of PV System Output for given time

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Team Proposal

Develop a capacity factor prediction tool

Algorithm based on Big Data Analytics Input Specific Parameters Capacity Factor

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Team Proposal : Specifics

  • Will be specific for the United Illuminating territory.
  • Based on big data analytics from existing residential PV Systems
  • Will incorporate several different essential variables
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Team Proposal : UI Territory

  • Will be specific for the United Illuminating territory.
  • Southwest area of Connecticut
  • Territory covers from 17 Cities/Towns
  • 9 of which are along the shore
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Team Proposal : Data

  • Based on data from existing residential PV Systems
  • Will perform Big Data Analytics
  • Data will be provided by 3rd party
  • Data will be from existing

residential customers

  • Will decide on geographical

areas within UI territory of which best to obtain data

  • Number of sites of which to

analyze data will be decided with help from an expert in stats.

  • Required to have 92% - 95%

confidence in prediction tool.

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Team Proposal : Variables

  • Will incorporporate several different variables deemed essential for an

accurate prediction tool

  • Irradiance
  • Tilt angle
  • Azimuth angle
  • Manufacturer of PV System
  • Time/ Season
  • Specifics of PV System (Size, quantity, etc…)
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  • Irradiance

Team Proposal : Variables : Irradiance

  • Measure of power per unit area in the form of

electromagnetic radiation from Solar Energy. (W/m^2)

  • Will also consider “Insolation,” which is the irradiance over

a given period of time. (kWh/m^2)

  • Solar energy is greatest when the Earth’s surface is
  • rthogonal to the Sun.
  • Varies with time, weather, season, etc…
  • Solar irradiance data can easily be obtained from weather

and/or government sources.

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  • Tilt

Team Proposal : Variables : Tilt

  • To use the irradiance data accurately we must

take into account the Tilt of the PV panels in relation to horizontal.

  • Low tilt angles are preferred in Summer

months

  • Higher tilt angles are preferred in Winter

months

  • For residential installations this is typically

decided by the pitch of the roof due to cheaper installation costs. Run Rise Angle = tan-1(Rise/Run)

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  • Azimuth

Team Proposal : Variables : Azimuth

  • The Azimuth angle takes into account the

direction the Panels are facing in relation to true North.

  • Direction of Panels affects the irradiance.
  • For areas in the Northern Hemisphere

southerly facing panels are preferred. Direction Angle(Deg.) N NE 45 E 90 SE 135 S 180 SW 225 W 270 NW 315

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Team Proposal : Variables : Manufacturer of Inverter/Panels

  • Manufacturer of Inverters/Panels
  • Will focus on how much the Capacity factor differ between manufacturers
  • Specifically their module type

  • Ex. Thin Film, Polycrystalline, Monocrystalline
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Team Proposal : Variables : Effects of Time/Season on the DER

  • Effects of Time/Season
  • Seasons are caused by the 23.5 degree tilt of the earth’s axis of

rotation.

  • Tilting in regards to the northern hemisphere results in longer days

between the spring and fall equinox.

  • The rotation of the Earth is responsible for hourly variations in

sunlight.

  • Greatest amount of solar energy reaches a solar collector around

solar noon.

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Scope of Work (Fall 2016)

Phase 1:

  • Send project proposal/ revised scope to sponsor within 2

weeks.

  • Setup and continuously update team webpage
  • Research topics
  • Figure out metrics/parameters needed for analysis
  • Figure out how many sites per area will be needed for

accurate statistical data

  • Figure out how many sites are manageable
  • Decide various areas and how many sites/area to analyze
  • Contact Greenbank
  • Obtain needed data.
  • Begin to organize data and decipher what will be useful

Phase 2:

  • Analyze data
  • Develop capacity factors with given data
  • Decipher how different variables affect the capacity factors
  • Figure out how to obtain and integrate irradiance data.
  • Begin final report
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Scope of Work (Spring 2016)

Phase 3:

  • Take care of any remaining issues or concerns from phase

1 and 2

  • Transfer our data into MATLAB
  • Decide what advanced techniques will best represent our

data

  • Figure out how to incorporate different variables into

capacity factor

  • Develop tool for capacity factor predicting
  • Test and refine tool
  • Add to final report

Phase 4:

  • Perform advanced data analytics with MATLAB
  • Prepare for Demo Day
  • Finalize final report
  • Take into account the economical impact of DER (Time Permitting)
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References

1. https://cleantechnica.com/solar-power/ 2. http://www.ipsi.net/commercial-power/cogeneration-systems 3. http://www.decodingsustainability.com/blog/2016/2/28/does-combined-heat-and-power-fit-into-the-future-low-carbon-world 4. https://www.civicsolar.com/support/installer/articles/microgrid-regulatory-policy-us 5. https://www.emaze.com/@AQWLRIT/Wind-Turbine 6. http://www.spheralsolar.com/ 7. http://www.nyiso.com/public/webdocs/media_room/publications_presentations/Other_Reports/Other_Reports/A_Review_of_Distributed_Energ y_Resources_September_2014.pdf 8. http://pvwatts.nrel.gov/index.php 9 https://maps.nrel.gov/nsrdb-viewer/#/?aL=8VWYIh%255Bv%255D%3Dt&bL=groad&cE=0&lR=0&mC=29.305561325527698%2C-84.63867 10. http://gizmodo.com/rooftop-solar-panels-are-almost-all-facing-the-wrong-di-1644518413 11. http://costofsolar.com/best-direction-to-face-solar-panels-south-or-west/ 12. http://energy.gov/eere/energybasics/articles/solar-radiation-basics 13. http://brightstarsolar.net/2014/02/common-sizes-of-solar-panels/ 14. http://www.weatherquestions.com/What_causes_the_seasons.htm 15. http://news.energysage.com/best-solar-panel-manufacturers-usa/