Browsing by Author "Navarro-Espinosa, A."

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    Discrete optimization via simulation to determine reliable network investments
    (IEEE, 2017) Lagos, T.; Ordóñez, F.; Sacaan, Rafael; Rudnick Van de Wyngard, Hugh; Navarro-Espinosa, A.; Moreno, R.
    Solving optimization problems in power systems planning often imposes a compromise between the accurate representation of the power system operation and the simplifications made in the mathematical methodologies used to find the optimal solution. Hence, classic heuristic algorithms go deep modelling operational details without having a clear message about the quality of the solution, whereas mathematical programming approaches find the optimal solution by (significantly) simplifying system operation. In this vein, this article proposes the utilization of Discrete Optimization via Simulation algorithms to solve optimization problems when a detailed representation of the system and information about the quality of the solution are required. In particular, the Industrial Strength COMPASS algorithm is applied to find the optimal set of new transmission lines that maximizes power system reliability given a certain budget and considering a detailed power system model, where a full unit commitment with network constraints and an hourly sequential Monte Carlo are implemented.
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    Improving distribution network resilience against earthquakes
    (IET, 2017) Navarro-Espinosa, A.; Moreno, R.; Lagos, T.; Ordoñez, F.; Sacaan, R.; Espinoza, S.; Rudnick, Hugh
    Historically, reliability analysis has ignored the occurrence of natural hazards such as those associated with extreme weather, flooding, earthquakes and tsunamis, which are becoming more and more relevant due to recent events. In this content, we present an assessment methodology to determine the resiliency levels of a distribution system e,posed to a major earthquake. The proposed 4-stage methodology models (i) the earthquake, (ii) the fragility of network components, (iv) the network outages, and (v) the impacts on network operation (including the energy not supplied) through sequential Monte Carlo simulations. This methodology is used to study the resilience of distribution networks under two particular strategies: one that hardens substations infrastructure in order to reduce their fragility levels, and the other one that uses additional network infrastructure in the form of transfer cables to shift load among substations in case a major event occurs. Through several case studies based on a real distribution network in Chile, we demonstrate that hardening substations infrastructure may be a more resilient way to deal with earthquakes, even when compared to an alternative, extreme case where a vast number of transfer cables are installed to support damaged substations