Design Microgrid (Solar) 20180712-1400: Demo Default

This demo is restricted to an example customer dataset.

Run this computational tool to place the following components of a solar microgrid:

  • Service Drop Poles
  • Service Drop Lines
  • Battery
  • Distribution Poles
  • Distribution Lines
  • Solar Panels
  • Street Lamps
  • Power Meters
  • Wifi Routers
  • Wide Poles

The algorithm makes the following optimizations:

  • Place distribution poles near roads when it is more cost effective to do so.
  • Avoid pole obstacles when placing service drop poles and distribution poles.
  • Avoid line obstacles when placing service drop line and distribution line.

Relevant Industries

  • Energy > Microgrid > Renewable

Target Applications

  • Microgrid Site Design

Pricing Notes

  • Pricing is on a per-site basis.
  • Please contact billing@crosscompute.com for special rates.

Usage Notes

  • Choose a sufficient amount of memory and time to run the algorithm.
  • You can influence the algorithm to put more distribution poles near roads by increasing Off Road Cost Multiplier.
  • The algorithm is also available as an API for easier automation and integration into your workflow.

Acknowledgments

Thank you to the following groups that made this work possible:

Geography

The algorithm expects an attribute called demand or demand_in_kwh_per_day for each customer (see Electricity).

  • Customers must be polygons or points.
  • Roads must be lines.
  • Pole obstacles must be polygons.
  • Line obstacles must be polygons.
  • Battery areas must be polygons.

This demo is restricted to an example customer dataset.

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Electricity

Layout

Cost

Algorithm

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Pay Tool Creator: Roy Hyunjin Han0
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