Improving power system reliability through optimization via simulation
Author
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Sacaan, Rafael
Author
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Rudnick, Hugh
Author
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Lagos, Tomás
Author
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Ordóñez Pizarro, Fernando
Author
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Navarro Espinosa, Alejandro
Author
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Moreno Vieyra, Rodrigo
Admission date
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2019-05-29T13:41:10Z
Available date
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2019-05-29T13:41:10Z
Publication date
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2017
Cita de ítem
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2017 IEEE Manchester PowerTech
Identifier
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10.1109/PTC.2017.7981193
Identifier
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https://repositorio.uchile.cl/handle/2250/169083
Abstract
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Due to the stochastic nature of equipment failures, the accurate assessment of power system reliability is a complex task. Consequently, the optimal selection of new network infrastructure to improve reliability is even harder. In this paper, an optimization via simulation approach is proposed to find the optimal set of network assets to improve system reliability. Particularly, an Industrial Strength COMPASS algorithm is implemented to find the optimal set of new transmission lines that maximizes system reliability subject to a budget constraint. This algorithm iteratively proposes, in a first stage, a set of new transmission lines that are then tested, in a second stage, via simulation of the system operation, including impact of various network failures. In the second stage, the sequence day-ahead unit commitment plus real-time operation is modeled along with a sequential Monte Carlo simulation to determine highly detailed system operation under network outages and thus calculate the associated expected energy not supplied.