The power distribution industry is demanding automation in order to control and monitor real-time data over a communication system. Automated detection of feeder faults and reconfiguration to restore power to un-faulted sections has been in trend. The feeder automation system provides several benefits to utilities and customers, including shorter outage durations, fewer sustained outages, improved performance indices, enhanced operational efficiencies, and improved service quality. Growing demand for energy, coupled with increasing investment in automation activities, is expected to drive the global feeder automation market to $3,445.0 Million by 2019, at a CAGR of 7.2%. Factors driving the feeder automation market include rising electricity prices with increased consumption, renewable energy integration, and improved reliability and efficiency.
Browse 71 market data tables and 50 figures spread through 210 pages and in-depth TOC on “Feeder Automation for Distribution Market”
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Feeder automation is a constituent of distribution automation system, which principally focuses on remote monitoring and control of the distribution systems & their equipment. Distribution feeders include control devices, most common being the shunt capacitors to meet local volt-ampere reactive (VAR) requirements or support voltage regulation. In addition, it comprises components such as line reclosers, load break switches, and sectionalizers. Reactors are employed to limit the fault current in the system. Integration of such automatic devices in the feeder system is done in order to optimize the management of capital assets and enhance operation and maintenance efficiencies with minimal human intervention.
The market for this system in regions such as the Americas has grown in the past decade due to its benefits, which include labor cost savings, reduction in unconsumed energy, and reduction in electrical losses. The global market is expected to witness sound growth in the near future, supported by various governments for effective installation and reconfiguration of networks for real-time optimization.
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