Zhang, Yi and Meo, Michela and Gerboni, Raffaella and Ajmone Marsan, Marco (2017) Minimum cost solar power systems for LTE macro base stations. [Journal Articles]Full text not available from this repository.
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.
|Item Type:||Journal Articles|
|Uncontrolled Keywords:||Cellular networks; Green networking; Renewable energy; Optimization.|
|Depositing User:||Rebeca De Miguel|
|Date Deposited:||17 Oct 2016 14:28|
|Last Modified:||26 Jan 2017 12:56|
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