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A.D. Patton
Researcher at Texas A&M University
Publications - 43
Citations - 941
A.D. Patton is an academic researcher from Texas A&M University. The author has contributed to research in topics: Reliability (statistics) & Electric power system. The author has an hindex of 20, co-authored 43 publications receiving 901 citations.
Papers
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Journal ArticleDOI
Real power transfer capability calculations using multi-layer feed-forward neural networks
X. Luo,A.D. Patton,Chanan Singh +2 more
TL;DR: A neural network solution methodology for the problem of real power transfer capability calculations based on the optimal power flow formulation of the problem and the Quickprop algorithm is used to train the neural network.
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Optimal Thermal Generating Unit Commitment
A. K. Ayoub,A.D. Patton +1 more
TL;DR: A new method of scheduling thermal generating units to achieve minimum operating costs including both running and start-up costs while at the same time maintaining a desired level of system security is described.
Journal ArticleDOI
Protection System Reliability Modeling: Unreadiness Probability and Mean Duration of Undetected Faults
Chanan Singh,A.D. Patton +1 more
TL;DR: In this article, a reliability model of a system and its associated protection system is described and a measure of system unreadiness is defined and suitable expressions are derived for this index and the mean duration of undetected faults.
Journal ArticleDOI
Power system reliability evaluation
TL;DR: A review of indices and methods for evaluating power system reliability performance using probability theory can be found in this paper, where a stochastic process view of power systems was used for reliability evaluation.
Journal ArticleDOI
Operating Considerations in Generation Reliability Modeling-An Analytical Approach
TL;DR: In this paper, a new analytical approach to the calculation of generating system reliability indices is presented, which makes it possible to relax idealizing assumptions and explicitly model the effects of operating considerations such as: (1) unit duty cycles reflecting load cycle shape, reliability performance of other units, unit commitment policy, and operating reserve policy; (2) start-up failures; (3) startup times; and (4) outage postponability.