Minimum cost solar power systems for LTE macro base stations

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• 作者：Yi Zhang^a ; ^{name.lastname@polito.it}Author Vitae ; Michela Meo ; ^a ; ^{michela.meo@polito.it}Author Vitae ; Raffaella Gerboni^b ; ^{name.lastname@polito.it}Author Vitae ; Marco Ajmone Marsan^a ; ^cAuthor Vitae
• 关键词：Cellular networks ; Green networking ; Renewable energy ; Optimization
• 刊名：Computer Networks
• 出版年：2017
• 出版时间：15 January 2017
• 年：2017
• 卷：112
• 期：Complete
• 页码：12-23
• 全文大小：1953 K
• 卷排序：112

文摘

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.