Design Microgrid (Solar) 20180712-1400

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:

• CrossCompute
• Electric Vine
• Powerhive
• Quadracci Sustainable Engineering Lab

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.

Electricity

Layout

Cost

Algorithm