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Title Smart Grid Management For Smart City Infrastructure Using Wearable Sensors
ID_Doc 50969
Authors Kumar S.; Lalitha Kameswari Y.; Koteswara Rao S.
Year 2023
Published Intelligent Systems Reference Library, 247
DOI http://dx.doi.org/10.1007/978-3-031-46092-0_4
Abstract Smart grids use automation, connectivity and IT systems to track power flows from generation to consumption and match generation in real time or near real time. It has modern metering infrastructure, smart distribution boards and circuit breakers, load management switches, renewable and energy-efficient resources, electric surplus distribution and failover capacity. In twentieth century, for economic and reliability reasons, local networks are made to expand and networked. Smart grids involve transmission, distribution, system operations, customer integration and renewable integration. Smart grid technologies monitor, measure, and control electricity flows in real time, identifying losses and enabling technological and management solutions. Smart grids decrease T&D losses, peak load management, service quality, dependability, asset management, renewable integration, power accessibility and self-healing networks. Real-time monitoring, automatic outage management and speedier restoration, dynamic pricing, pricing signals should encourage consumers to use electricity in different times of day. Websites, smartphone apps and in-house displays monitor energy usage, preserve electricity and support in efficient use. Smart grids are decentralising and integrating with renewable energy and physical information systems as the internet of energy grows. Smart grid power management is described in this chapter. Smart power system modelling, real-time power system monitoring, system engineering database collection and management, grid condition checking and maintenance, smart grid power system fault analysis. Smart power management system analyses scenarios based on numerous modules and accurately collects, monitors and regulates real-time data by integrating real-time monitoring data and engineering data. Smart power management system modelling depends on grid management, operation, and regulations. Neural networks can address power system engineering, system design, grid operation, maintenance and management issues in this integrated system. Maintenance workers can modify smart power management system features wirelessly through their phones. Field and grid maintenance receive real-time system warnings. Smart power management systems can integrate all desired functions to support complete automation control for unmanned power system substations in the future, monitor real-time system information, update it, identify grid weakness points, sending real-time system warnings and help field maintenance keep power system facilities in good working condition, conduct power systems fault analysis and operate efficiently. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.
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