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Minimum cost solar power systems for LTE macro base stations

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Minimum_cost_solar_power_systems_for_LTE_macro_base_stations_2017_EN.pdf (1.832Mb)
Identificadores
URI: http://hdl.handle.net/20.500.12761/278
ISSN: 1389-1286
DOI: http://dx.doi.org/10.1016/j.comnet.2016.10.008
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Autor(es)
Zhang, Yi; Meo, Michela; Gerboni, Raffaella; Ajmone Marsan, Marco
Fecha
2017-01-15
Resumen
This paper proposes an algorithm for the identification of the minimum cost solution over a 10 year time horizon to power an LTE (Long-Term Evolution) macro base station, using a photovoltaic solar panel, a set of batteries, and optionally also a secondary power source, which can be a connection to a (possibly unreliable) power grid, or a small Diesel generator. The optimization is formalised as an Mixed Integer Programming (MIP) problem, which, after linearization, can be solved with CPLEX. A heuristic algorithm is also proposed, with the objective of decreasing the computational complexity of the optimization. Numerical results show that a hybrid solar-grid (or solar-diesel) power system saves a significant fraction of the total cost, compared to a pure solar system, and to the traditional power-grid system, over the investigated 10-year period, in a south European city, like Torino in Italy, as well as in a location close to the tropic, like Aswan in Egypt. Our proposed heuristic algorithm can be used to obtain a solution within 10–20% of the optimum, at a computational speed 200 times faster than the MIP solution.
Compartir
Ficheros
Minimum_cost_solar_power_systems_for_LTE_macro_base_stations_2017_EN.pdf (1.832Mb)
Identificadores
URI: http://hdl.handle.net/20.500.12761/278
ISSN: 1389-1286
DOI: http://dx.doi.org/10.1016/j.comnet.2016.10.008
Metadatos
Mostrar el registro completo del ítem

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