Algoritmos de optimización basados en capacidad y cobertura de redes inalámbricas para la infraestructura de medición avanzada de energía eléctrica
The advanced metering infrastructure AMI increasingly takes strength and domain in the world of smart grids, offering numerous applications in different fields: to save human lives, public and private property, to provide an automated environment and comfort for users such networks, etcetera. In thi...
| Autor Principal: | Jaramillo Barreiro, Adrián Eduardo |
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| Otros Autores: | Torres Riascos, Diego Fernando |
| Formato: | bachelorThesis |
| Idioma: | spa |
| Publicado: |
Universidad Politécnica Salesiana. Carrera de Ingeniería Eléctrica. Sede Quito
2016
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| Acceso en línea: |
Jaramillo Barreiro, A. E. Torres Riascos, D. F. (2017). Algoritmos de optimización basados en capacidad y cobertura de redes inalámbricas para la infraestructura de medición avanzada de energía eléctrica. Universidad Politécnica Salesiana. Carrera de Ingeniería Eléctrica. Sede Quito |
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| Sumario: |
The advanced metering infrastructure AMI increasingly takes strength and domain in the world of smart grids, offering numerous applications in different fields: to save human lives, public and private property, to provide an automated environment and comfort for users such networks, etcetera. In this context, smart metering has a major role, and the optimal sizing of a network for it even more, so this paper presents a detailed degree of analysis optimization methods regarding how to group items and It proposes a comparison clustering algorithms in order to determine the most efficient algorithm to cover the capacity of link with smart meters - characteristic of each AP (Access Point) - and coverage - characteristic of each communication standard-, for a smart meters network based on wireless communication standard WiFi. As a result of this analysis it is to obtain the characteristics of each method analyzed under the same conditions both coverage and capacity expressed through graphics and establish the respective conclusions. That is why this research will focus on defining, modeling and simulation methods using K-means clustering, K-medoids and ILP (Integer Linear Programming) expressed as mathematical algorithms in a (500) smart meters network in an Urban residential area which we will call users, considering each method restrictions and objective functions of the network, ensuring a coverage rate of 100% of users located in clusters (groups) and thus providing an optimal solution in terms of time, fewer groups, and equitable distribution of smart meters in the different groups. |
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