Browsing by Author "Navarro Espinosa, Alejandro Andrés"

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    Distribution Network Rate Making in Latin America: An Evolving Landscape
    (IEEE, 2020) Moreno Vieyra, Rodrigo Andrés; Bezerra, B.; Rudnick van de Wyngard, Hugh; Suazo Martínez, C.; Carvalho, M.; Navarro Espinosa, Alejandro Andrés; Silva Montes, Carlos; Strbac, G.
    Following the trend observed in developed economies, various Latin American governments are committed to reducing greenhouse gas emissions, particularly in the power sector. In countries such as Chile, Peru, Colombia, Brazil, and Mexico, various regulatory policies have been issued to meet renewable-generation integration targets and satisfy the increasing demand from consumers for supply quality. Meanwhile, the integration of distributed generation (DG) in rural and urban areas as well as the increasing need to integrate electric vehicles (EVs) in urban areas are driving important reforms in the distribution sector.
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    From Reliability to Resilience: Planning the Grid Against the Extremes
    (IEEE, 2020) Moreno Vieyra, Rodrigo Andrés; Panteli, M.; Mancarella, P.; Rudnick van de Wyngard, Hugh; Lagos, T.; Navarro Espinosa, Alejandro Andrés; Ordonez, F.; Araneda, J. C.
    Although extreme events, mainly natural disasters and climate change-driven severe weather, are the result of naturally occurring processes, power system planners, regulators, and policy makers do not usually recognize them within network reliability standards. Instead, planners have historically designed the electric power infrastructure accounting for the so-called credible (or "average") outages that usually represent single or (some kind of) simultaneous faults (e.g., faults on double circuits).
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    Identifying Optimal Portfolios of Resilient Network Investments Against Natural Hazards, With Applications to Earthquakes
    (IEEE, 2020) Lagos, Tomás; Moreno, Rodrigo; Navarro Espinosa, Alejandro Andrés; Panteli, Mathaios; Sacaan, Rafael; Ordonez, Fernando; Rudnick van de Wyngard, Hugh; Mancarella, Pierluigi
    Although extreme natural disasters have occurred all over the world throughout history, power systems planners do not usually recognize them within network investment methodologies. Moreover, planners had historically focused on reliability approaches based on average (rather than risk) performance indicators, undermining the effects of high impact and low probability events on investment decisions. To move towards a resilience centred approach, we propose a practical framework that can be used to identify network investments that offer the highest level of hedge against risks caused by natural hazards. In a first level, our framework proposes network enhancements and, in a second level, uses a simulation to evaluate the resilience level improvements associated with the network investment propositions. The simulator includes 4 phases: threat characterization, vulnerability of systems components, system response, and system restoration, which are simulated in a sequential Monte Carlo fashion. We use this modeling framework to find optimal portfolio solutions for resilient network enhancements. Through several case studies with applications to earthquakes, we distinguish the fundamental differences between reliability- and resilience-driven enhancements, and demonstrate the advantages of combining transmission investments with installation of backup distributed generation.
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    Large-Scale Distribution Planning-Part I: Simultaneous Network and Transformer Optimization
    (IEEE, 2009) Navarro Espinosa, Alejandro Andrés; Rudnick van de Wyngard, Hugh
    This paper is the first of two and presents a planning methodology for low-voltage distribution networks. Combined optimization of transformers and associated networks is performed, considering the street layout which connects the different consumers. In this first part, micro-optimization, the planning zone is divided into small zones, mini-zones, which are optimized independently. A repetitive procedure is used in order to locate transformers using clustering techniques. Optimum capacity, customers to be satisfied, the optimum network to be used and losses associated to this network are determined for each location. The methodology is applied over an area of 12.9 km2 with nearly 20 215 consumers. In the second paper, two macro-optimization methodologies are discussed based on the planning results for each mini-zone, one based on the Voronoi polygons in order to improve load grouping into mini-zones and the other based on the combination of neighboring networks into a single transformer by means of a Tabu search. Finally, the methodology is applied to a zone with a surface of 2118 km2 and approximately 1300 000 customers.
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    Large-Scale Distribution Planning-Part II: Macro-Optimization With Voronoi's Diagram And Tabu Search
    (IEEE, 2009) Navarro Espinosa, Alejandro Andrés; Rudnick van de Wyngard, Hugh
    This paper is the second of two and presents a planning methodology for low-voltage distribution network planning. Combined optimization of transformers and associated networks is applied, considering the street layout which connects the different consumers. In the first section, a planning zone division into smaller mini-zones is performed