In electric power transmission systems, the assets include transmission lines, transformers, power plants and support structures. Maintaining these assets to reliably deliver electric energy at low prices is critical for a nation’s growth and development. Towards this end, we describe a novel service-oriented architecture for sensing, information integration, risk assessment, and decision- making tasks that arise in operating modern high-voltage electric power systems. The proposed framework integrates real-time data acquisition, modeling, and forecasting functionalities provided by relatively autonomous, loosely coupled entities that constitute the power industry to determine operational policies, maintenance schedules and facility reinforcement plans required to ensure reliable operation of power systems.
Modern electric power systems comprising of power transmission and distribution grids consist of a large number of distributed, autonomously managed, capital-intensive assets. Such assets include power plants, transmission lines, transformers, and protection equipment. Over the past 15 years, the investment in acquiring new assets has significantly declined causing many such assets to be operated well beyond their intended life with unavoidable increase in stress on the system. Typically, a single power transmission company has its own centralized control center and is responsible for maintaining different types of equipment. The failure of critical equipment can adversely impact the entire distribution grid and increase the likelihood of additional failures.
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