Global Self-Healing Grid Market is expected to grow at a robust CAGR
Global Self-Healing
Grid Market is expected to grow owing to up gradation of aging utility
infrastructure and growing investments in distributed generation throughout the
forecast period.
According to
TechSci Research report, “Self-Healing
Grid Market - Global Industry Size, Share, Trends, Opportunity, and Forecast
2018-2028”, the Global Self-Healing Grid Market is expected to
register robust growth during the forecast period owing to the growing adoption
of clean energy sources such as wind and solar is set to drive the growth of
the self-healing grid market in the future. Clean energy sources refer to
renewable and emission-free energy sources. The increasing production and
adoption of clean energy sources necessitate the use of self-healing grids,
which enable integrated systems for large-scale renewable energy utilization.
The self-healing grids market is witnessing a rising trend of investments in
smart grids, with major companies focusing on developing smart grids to
maintain their market position.
AI
and ML technologies enable self-healing grids to proactively predict potential
faults or issues before they escalate into major disruptions. By analyzing
historical data, weather conditions, load patterns, and other variables,
AI-powered systems can identify patterns that indicate potential problems. This
predictive analytics approach empowers utilities to implement proactive
measures, such as rerouting power or dispatching maintenance crews, to prevent
outages and minimize downtime. AI-driven self-healing grids facilitate
real-time monitoring of the distribution network. Sensors and smart meters
collect data on voltage levels, current flows, and other critical parameters.
AI algorithms analyze this data to identify abnormal conditions that could lead
to faults. When anomalies are detected, the system can automatically isolate
the affected area, reroute power, and restore service to unaffected parts of
the grid. This rapid response minimizes the impact of outages on consumers and
businesses.
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The Global Self-Healing
Grid Market is segmented based on component, application, end-user and region.
Based on component, the market is bifurcated into hardware, software &
services. Based on application, the market is bifurcated into transmission
lines, distribution lines. Based on end-user, the market is bifurcated into public
utility, private utility. Based on region, the market is further bifurcated
into North America, Asia-Pacific, Europe, South America, Middle East &
Africa. Based on component, Hardware segment is expected
to dominate the market during the forecast period. Data analytics and
processing units constitute the core of the intelligence behind self-healing
grids. These units employ advanced algorithms, artificial intelligence, and
machine learning to analyze incoming data, detect patterns, identify anomalies,
and make well-informed decisions regarding fault management and grid
optimization. Hardware components associated with control and automation
systems play a vital role in executing corrective actions within the
self-healing grid. These systems analyze data from sensors, determine fault
locations, and activate necessary switches, breakers, and re-routing mechanisms
to isolate and restore affected areas. Based on application,
Transmission Lines segment is projected to dominate the market throughout the
forecast period. Self-healing grid technologies facilitate dynamic line rating,
optimizing transmission line capacity based on real-time weather conditions,
ambient temperatures, and thermal limits. This enables operators to safely
transmit more power during favorable conditions, enhancing grid efficiency and
capacity. Additionally, load balancing algorithms ensure equitable power
distribution across transmission lines, reducing strain and mitigating the risk
of overloads. Effective communication systems are imperative for the
transmission lines segment of the self-healing grid. Real-time data exchange
between sensors, switches, control centers, and other grid components ensures
prompt response to faults. Communication networks facilitate the transmission
of fault information, enabling timely decisions for restoring normal operation.
Key market
players in the Global Self-Healing Grid Market are:-
- ABB Ltd.
- Siemens AG
- General Electric Company
- S & C Electric Company
- Sentient Energy, Inc.
- Eaton Corporation plc
- Schneider Electric SE
- Cisco Systems, Inc.
- Infosys Limited
- Oracle Corporation
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“North America is
expected to dominate the market as it is home to several key players in the
self-healing grid market, encompassing utility companies, technology providers,
and solution developers. The region's commitment to research, development, and
pilot projects is fueling the widespread adoption of self-healing grid
technologies. Furthermore, North America boasts well-established research
institutions, universities, and industry associations that actively collaborate
to advance self-healing grid technologies. Through research centers and
industry partnerships, innovative solutions are being developed, new hardware
and software are being tested, and best practices are being shared to enhance
grid reliability and resilience.” said Mr. Karan Chechi, Research Director with
TechSci Research, a research-based global management consulting firm.
“Self-Healing
Grid Market – Global Industry Size, Share, Trends, Opportunity, and Forecast,
2018-2028, Segmented By
Component (Hardware, Software & Services), By Application (Transmission
Lines, Distribution lines), By End-User (Public Utility, Private Utility), By
Region, Competition,”
has evaluated the future growth potential of Global Self-Healing
Grid Market and provides statistics & information on market size,
structure, and future market growth. The report intends to provide cutting-edge
market intelligence and help decision makers take sound investment decisions.
Besides the report also identifies and analyzes the emerging trends along with
essential drivers, challenges, and opportunities in Global Self-Healing Grid
Market.
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