Optimum deployment of FiWi Networks using wireless sensors based on Universal Data Aggregation Points

Peralta, Arturo; Inga, Esteban; Cumbal, Renato; Hincapié, Roberto

doi:10.1109/colcomcon.2015.7152079

Cited by 17 publications

(8 citation statements)

References 28 publications

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“…La implementación de sistemas confiables de comunicación en redes eléctricas de distribución son cada vez más necesarias para poder gestionar adecuadamente el recurso energético generado. Por lo tanto, es necesario implementar aparatos capaces de proveer de información al sistema de comunicaciones, lo cual es posible, con la integración de medidores inteligentes capaces de recolectar información (potencia activa, reactiva) de cada usuario y transmitir a puntos de agregación de datos (UDAPs) para su posterior paso de información a los centros de control [23], los cuales se encargaran de gestionar y actuar sobre cada cliente [24]. Por lo tanto, el presente modelo ha sido diseñado con miras a procesos de planeación óptimo dando cabida a la integración de redes confiables de comunicación híbrida mediante la utilización del mismo ducto soterrado, por la cual, pasará las redes eléctricas de distribución.…”

Section: Redes Eléctricas Inteligentes Resilientesunclassified

Planeación y dimensionamiento de redes eléctricas de distribución soterrada mediante un método metaheurístico

Villacres

Inga

2019

ing.cienc

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La introducción de nuevas cargas a los sistemas eléctricos de distribución tradicionales puede provocar sobrecarga en los equipos de potencia. Esta sobrecarga hace que la vida útil de los equipos de potencia disminuya considerablemente además, la confiabilidad y estabilidad del sistema comienza a verse comprometido. Por lo tanto, mediante la presente investigación se da solución al problema de planeación de redes eléctricas de distribución integrando la posibilidad de migrar del concepto de redes eléctricas tradicionales a redes eléctricas inteligentes, las mismas que, únicamente se consigue dotando a los sistemas eléctricos de distribución de robustas redes heterogéneas de comunicación bidireccional. El presente trabajo se enfoca en el desarrollo de un modelo capaz de ubicar los transformadores de distribución en los mejores sitios para satisfacer de energía a los usuarios de la red eléctrica y de conseguir la mejor topología mediante la aplicación de teoría de grafos. Además, el presente modelo contempla el desarrollo de una heurística capaz de ejecutar procesos de planeación georreferenciada mediante la gestión y utilización de la información geolocalizada desde OpenStreetMap mediante el archivo .osm que, esta plataforma gratuita, nos ofrece.La heurística propuesta en el presente documento se modela utilizando el software Matlab y para validar la información, se requiere el software Cymdist.

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Section: Redes Eléctricas Inteligentes Resilientesunclassified

Planeación y dimensionamiento de redes eléctricas de distribución soterrada mediante un método metaheurístico

Villacres

Inga

2019

ing.cienc

Self Cite

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“…Advanced Metering Infrastructure (AMI) allows a two-way communication in which SMs must be able to send the information collected in the analysis tools and receive operating commands from the central office [25,26]. In order to avoid communication conflicts is very important to establish communication standards that allows interoperability between different electronic equipment as suggested in [12,14].…”

Section: Smart Metering In Smart Citiesmentioning

confidence: 99%

Optimal Deployment of FiWi Networks using Heuristic Method for Integration Microgrids with Smart Metering

Inga¹,

Campaña²,

Hincapié³

et al. 2018

Preprint

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The unpredictable increase in electrical demand affects the quality of theenergy throughout the network. A solution to the problem is the increase of distributedgeneration units which burn fossil fuels.While this is an immediate solution to theproblem the ecosystem gets affected by the emission of CO2.A promising solutionis the integration of Distributed Renewable Energy Sources (DRES) to the conventionalelectrical system, thus, introducing the concept of smart microgrids (SMG) that requirea safe, reliable and technically planned two-way communication system. This documentpresents a heuristic based on planning capable of providing a bidirectional communicationnear optimal route map, following the structure of an hybrid Fiber-Wireless (FiWi) with thepurpose of obtaining information of electrical parameters that help us to manage the useof energy by integrating conventional electrical system to SMG. A FiWi network is basedon the integration of wireless access and optical networks. This integration increases thecoverage and reliability at a lower cost. The optimization model is based on clusteringtechniques, through the construction of balanced conglomerates. The method is used forthe development of the clusters along with the Nearest-Neighbor Spanning Tree Algorithm(N-NST). Additionally, Optimal Delay Balancing (ODB) model will be used to minimizethe end to end delay of each grouping. In addition, the heuristic observes real designparameters such as: capacity and coverage. Using the Dijkstra algorithm, the routes arebuilt following the minimum shorter path. Therefore, this paper presents a heuristic able to plan the deployment of smart meters (SMs) through a tree-like hierarchical topology for theintegration of SMG at the lowest cost.

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“…Subsequently the different UDAP of NAN form a MAN, which forms the WAN [7,34], but among NAN and MAN/WAN two solutions can be proposed for boundary zones; thus, we can continue to maintain a wireless cellular solution, WiFi or IEEE 802.15.4 g [35]. According to the coverage and the capacity of each UDAP that will be the one that finally allows the connectivity with the nearest cellular base station, but when the information demand grows substantially a fiber optic return is proposed [36][37][38][39][40], in addition to the interconnection of cellular base stations normally arranged for telephony, thus forming a hybrid network FiWi.…”

Section: State Of Art and Related Workmentioning

confidence: 99%

Planning of FiWi Networks to Support Communications Infrastructure of SG and SC

Peralta¹

2018

Broadband Communications Networks - Recent Advances and Lessons From Practice

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Nowadays, growth in demand for bandwidth, due to new and future applications being implemented, for services provided from smart grids (SG), smart cities (SC) and internet of things (IoT), it has drawn attention of scientific community, on issues related to planning, and optimization of communication infrastructure resources, in addition is necessary comply with requirements such as scalability, coverage, security, flexibility, availability, delay and security. Another important point is how to find and analyze possible solutions that seek to minimize the costs involved by capital expenditure (CAPEX) and operational expenditure (OPEX), but where it is possible to measure the uncertainty coming from stochastic projections, in order to obtain the maximum benefit expected to give access to users Who benefits from the services provided by SG, SC and IoT, on the other hand, we must look for communications architectures that generate optimum topologies to meet demanded requirements and at the same time save energy, possible alternatives highlight the use of hybrid networks of optical fiber links combined with wireless links (Fiber-Wireless, FiWi). This chapter seeks to provide planning alternatives to network segments linking universal data aggregation point (UDAP) with base stations (BS), this segment joins wide area network (WAN) with metropolitan area network (MAN).

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Optimum deployment of FiWi Networks using wireless sensors based on Universal Data Aggregation Points

Cited by 17 publications

References 28 publications

Planeación y dimensionamiento de redes eléctricas de distribución soterrada mediante un método metaheurístico

Planeación y dimensionamiento de redes eléctricas de distribución soterrada mediante un método metaheurístico

Optimal Deployment of FiWi Networks using Heuristic Method for Integration Microgrids with Smart Metering

Planning of FiWi Networks to Support Communications Infrastructure of SG and SC

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