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Integrated Decision Algorithms for Auto-steered Electric Transmission System Asset Management
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part I: ICCS 2007
A service-oriented architecture for electric power transmission system asset management
ICSOC'06 Proceedings of the 4th international conference on Service-oriented computing
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The total replacement value of the US transmission lines alone (excluding land) is conservatively estimated at over $100 billion dollars [1] and triples when including transformers and circuit breakers. Investment in new transmission equipment has significantly declined over the past 15 years. Some of the equipment is well beyond intended life, yet is operated under increasing stress, as load growth, new generation, and economically motivated transmission flows push equipment beyond nameplate limits. Maintaining acceptable electric transmission system reliability and delivering electric energy at low energy prices requires innovations in sensing, diagnostics, communications, data management, processing, algorithms, risk assessment, decision-making (for operations, maintenance, and planning), and process coordination. This paper overviews a comprehensive approach to develop methods and processes in these areas, driven by the ultimate objective to develop a hardware-software prototype capable of auto-steering the information-decision cycles inherent to managing operations, maintenance, and planning of the high-voltage electric power transmission systems.