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Development of a Smart Grid system for unreliable grids in emerging markets

Reference number
Coordinator Lumingo AB
Funding from Vinnova SEK 499 523
Project duration May 2016 - January 2017
Status Completed

Purpose and goal

Unreliable power supply is a major barrier to economic development in emerging markets, especially in remote locations. This project has developed a smart grid solution that increases the reliability and monitoring capabilities for grid operators, and that is tailor made to emerging markets. LuminGo has developed a prototype of the hardware and software to monitor and quickly detect and locate power outages on the low voltage lines. The prototype has been upgraded to a commercial product and will be tested on a real grid through a partnership with an electricity company.

Expected results and effects

The project has developed a cost effective solution enabling simple monitoring and control of low voltage power grids. The developed solution was tested for measurement accuracy and protection response time. The system was found having a good accuracy and having a better response time than existing fuses. The effects on operating costs for the grid operator and on power quality for the end-user side are being measured in a pilot project with an electricity company.

Planned approach and implementation

First a detailed need assessment for East Africa and India was conducted with grid operators. The hardware was then redesigned and the functionalities of the software were defined. A first prototype including 3 LMUs and integrated with the software was built and tested in a smart grid laboratory in Sweden. The system was then upgraded to be installed on 3-phase electricity lines. A partnership was finally created with an electricity company in Uganda for a pilot project where 20 LMUs will be installed on a microgrid for first commercial evaluation of the system.

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 29 January 2019

Reference number 2016-01545

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