Planeación de la Red FiWi para Medición Inteligente basado en Programación Estocástica Multietapa (FiWi Network Planning for Smart Metering Based on Multistage Stochastic Programming)

Arturo Peralta Sevilla (aperaltas@ups.edu.ec)1, Esteban Inga Ortega (einga@ups.edu.ec)1, Roberto Hincapié (roberto.hincapie@upb.edu.co)2


1Universidad Politécnica Salesiana Ecuador
2Universidad Pontificia Bolivariana

This paper appears in: Revista IEEE América Latina

Publication Date: Dec. 2015
Volume: 13,   Issue: 12 
ISSN: 1548-0992


Abstract:
This article presents a novel model of mixed integer linear programming (MILP) to conduct network planning (Fiber‑Wireless‑FiWi) that along a timeline space facilitates growth, expansion and scalability of resources involved in communications network, traditionally used in cellular telephony, and is possible that extends as a multiservice network to provide smart metering, as is the case in Advanced Metering Infrastructure (AMI) in Smart Grid, thus optimizing their infrastructure and minimizing investment costs. This paper proposes a hybrid architecture (fiber optic-wireless networks) with realistic approaches to planning and scalability considerations under scenarios that present uncertainty in the evolution of consumer demand, both for primary users of cell phone and smart metering as a secondary user. We propose a model for network planning based on Multistage Stochastic Programming (MSP) with a growth in demand for stochastic users and FiWi networks scalability through expected maximum benefit for their investment. The approach of this article shows that it is possible to design real FiWi large‑scale networks under a cost-effective evolution considering a scheme appropriate growth in the timeline.

Index Terms:
smart grid, advanced metering infrastructure, scalability, network planning, fiwi network, multistage stochastic programming, optimization   


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