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ENERGIX-Stort program energi

Sensegrid - a technology platform for monitoring and analysing real-time grid data.

Alternativ tittel: Sensegrid - en teknologiplatform for overvåkning og analyse av sanntidsdata fra strømnettet

Tildelt: kr 9,0 mill.

Prosjektleder:

Prosjektnummer:

309598

Prosjektperiode:

2020 - 2023

Midlene er mottatt fra:

Samarbeidsland:

Det elektriske strømnettet er kritisk infrastruktur i alle moderne samfunn, og selskapene som eier og driver denne infrastrukturen opplever for tiden enorme endringer. Desentralisert energiproduksjon, fluktuerende fornybar energiproduksjon og en generell elektrifisering representerer et paradigmeskifte for hvordan nettselskapene opererer og planlegger sine nett. I dag er de fleste kraftnett operert basert på statiske sikkerhetsgrenser og erfaringsbaserte modeller og prognoser, med relativt få kilder til sanntidsdata. I Sensegrid prosjektet har vi utviklet en overvåkingsplattform for strømnettet basert på et nettverk av linje-monterte sensorer. Ved å instrumentere høyspentlinjer, kan vi få en full digital representasjon av strømnettet. Overvåkningsplattformen består av en sensor for høyspentlinjer som samler inn sanntidsdata og sender dette til vår sikre skyserver, hvor dataen systematiseres, kombineres med eksterne data kilder, prosesseres og presenteres i et brukerfokusert grensesnitt. Overføringskapasitet i nettet vises som historiske data, sanntidsdata og prognoser, som gir eiere full oversikt og styrbarhet for å utnytte faktisk kapasitet. Prosjektet har også utviklet dronemontering av sensoren, for å kunne gjøre installasjoner på kritiske linjer uten å forstyrre driften. Hypotesene ved prosjektstart om bruk av sensoren til å forutse linjefeil og bedre kapasitetskontroll er bekreftet gjennom flere pilotinstallasjoner, og flere nettselskap er i ferd med å ta teknologien i bruk rundt om i verden.

In the project the next generation neuron design has been completed and tested. This neuron is providing real time measurements of the status and health of the grid which enables many valuable use cases for the grid operators. The data and results generated by the project reveals bottlenecks and weaknesses in the grid, opening up new possibilities for increasing reliability of supply, nationally as well as internationally. Dynamic Line Rating increases the capacity of existing grid by up to 40%, which reduces drastically the need for building more power lines. The solution developed is providing both real time monitoring and projecting of future capacity. Similarly we have developed real time monitoring and projection of ice on the grid. This gives a method for the grid owners to manage ice on their grid and minimize downtime. The project has also resulted in Heimdall Power being able to install the neuron by our autonomous drone, without any disturbance to the grid.

The electrical power grid is critical infrastructure in any modern society, and the utilities which own and operate this infrastructure are currently facing unprecedented change. Decentralized energy production, intermittent renewable energy production and a general electrification represent a paradigm-shift for how electric utilities operate and plan their grids. Today, most power grids are operated based on static safety limits and experience-based models and forecasts, with relatively few sources of real-time data. Sensegrid is a project whose goal is to research and develop a technology platform for sensing, monitoring and analyzing real-time grid data, providing insight and decision support for transmission and distribution system operators. The project is centered around the development of an overhead line sensor which can be installed on power lines, measuring its condition. The data produced by these sensors provide a unique opportunity to develop new tools which have previously not been possible to realize. One of these is Dynamic Line Rating (DLR) of lines, which allows the system operator to maximize the capacity of their grid, without compromising safety, when environmental conditions allow it. The project will also examine new solutions for fault detection, ice monitoring and prediction and grid planning. By researching and developing these solutions, existing infrastructure be utilized more efficiently, failures can be avoided and detected immediately and localized with higher accuracy, maintenance can be planned better, and grid investments can be postponed or avoided. The main research challenge is related to building accurate and reliable data models which can be used in grid operation based on real-time data. Given the importance of the grid as critical infrastructure, the tools and models developed need to have tight statistical tolerance limits, with a high level of confidence, if they are to be used for dynamic grid operations.

Budsjettformål:

ENERGIX-Stort program energi