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With the spread of distributed energy resources, the need for intelligence, control and flexibility in distribution networks is also expanding
.
This is amplified at the edge of the grid, where there are many new disruptive resources and their associated load dynamics
.
The grid edge is defined as the segment of the grid between a distribution substation and a distributed energy network, including utility power supply for the meter and assets
on the customer demand side.
The market for grid edge computing and distributed intelligence will reach $6.
5 billion by 2027
According to a new report from Navigant Research, the global grid edge computing and distributed intelligence market is expected to reach $6.
5 billion
by 2027.
"Digital technologies and strategies are ubiquitous in the grid, and distributed intelligence is advancing on the grid today more than ever before
.
" Michael Hartnack, research analyst at Navigant Research, "In the long term, grid edge intelligence and automation will drive positive developments in the market for centralized clean resources and services, reliable, efficient, self-healing transmission networks, and end-to-end integrated grid management strategies
.
" ”
According to the report, most current and past utility efforts have been largely reactive, focusing primarily on issues
caused by distribution network asset failures, renewable energy intermittency, load shifting, capacity constraints, and two-way power flows.
The report identifies and discusses the most important developments in grid edge computing technologies that will lead the grid edge into future phases, including advanced metering infrastructure, distribution automation, grid optimization, smart inverters, and distributed energy integration
.
，
With the spread of distributed energy resources, the need for intelligence, control and flexibility in distribution networks is also expanding
.
This is amplified at the edge of the grid, where there are many new disruptive resources and their associated load dynamics
.
The grid edge is defined as the segment of the grid between a distribution substation and a distributed energy network, including utility power supply for the meter and assets
on the customer demand side.
The market for grid edge computing and distributed intelligence will reach $6.
5 billion by 2027
5 billion by 2027
According to a new report from Navigant Research, the global grid edge computing and distributed intelligence market is expected to reach $6.
5 billion
by 2027.
"Digital technologies and strategies are ubiquitous in the grid, and distributed intelligence is advancing on the grid today more than ever before
.
" Michael Hartnack, research analyst at Navigant Research, "In the long term, grid edge intelligence and automation will drive positive developments in the market for centralized clean resources and services, reliable, efficient, self-healing transmission networks, and end-to-end integrated grid management strategies
.
" ”
According to the report, most current and past utility efforts have been largely reactive, focusing primarily on issues
caused by distribution network asset failures, renewable energy intermittency, load shifting, capacity constraints, and two-way power flows.
The report identifies and discusses the most important developments in grid edge computing technologies that will lead the grid edge into future phases, including advanced metering infrastructure, distribution automation, grid optimization, smart inverters, and distributed energy integration
.
，
