TY - GEN
T1 - Auto-steered information-decision processes for electric system asset management
AU - McCalley, James D.
AU - Honavar, Vasant G.
AU - Ryan, Sarah M.
AU - Meeker, William Q.
AU - Roberts, Ronald A.
AU - Qiao, Daji
AU - Li, Yuan
PY - 2006
Y1 - 2006
N2 - 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.
AB - 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.
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U2 - 10.1007/11758532_59
DO - 10.1007/11758532_59
M3 - Conference contribution
AN - SCOPUS:33746656674
SN - 3540343830
SN - 9783540343837
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 440
EP - 447
BT - Computational Science - ICCS 2006
PB - Springer Verlag
T2 - ICCS 2006: 6th International Conference on Computational Science
Y2 - 28 May 2006 through 31 May 2006
ER -