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This paper presents an innovation Smart Power Management System on Smart Grid. This report consists of 5 major sections: smart power system modeling; 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 enables grid management and visualization to be very effective as it incorporates real time monitoring data and historic engineering data into an integrated system, analyzing scenarios based on various modules and making it possible to collect, monitor and control real time data with accuracy. Smart Power Management System modeling is based on a variety of factors according to regulation policies, grid management requirements and operation rules. Various scenario modules of Smart Power Management System can be developed and modified based on the client's specifications for its grid conditions and operation needs. Neural Networks adds an interesting flavor of intelligent modeling to this integrated system, which provides the most appropriate solution to solve important issues in power system engineering, system design, grid operation, maintenance and management. Intelligent functions of Smart Power Management System can also be modified via wireless channels to cell phones or other mobile devices for maintenance staff. Real time signals of abnormal system indications can be sent out to field maintenance and grid operation as required. Needleless to say, Smart Power Management System makes it possible that all desired functions can be integrated so as to support complete automation control for un-manned power system substations in the future, to monitor real time system information, to update real time system data, to identify grid weakness points, to help field maintenance keep power system facilities in a good working condition, to conduct power systems fault analysis and operator training, to effectively support field - aintenance, system troubleshooting and repair and to provide emergency contingencies to power system maintenance, operations, control centers for smart grid management and visualization.
Date of Conference: 2-3 Nov. 2011