Parametric approach of designing electrical system for grid connected telco base station consisting of generator and battery bank

Abstract

With increasing competition and diminishing returns in revenue for mobile network operators, optimization of cost invested in the development of telecommunication networks is an important topic. Recent research suggests that developing electrical systems for telecommunication base stations can be optimized using adaptive power management strategies, power saving strategies and infrastructure sharing strategies. This paper proposes a novel model with a parametric and base station categorization approach to determine the optimum electrical system configuration with the least investment cost incurred for developing a telecommunication base station. In this study, the considered electrical system configuration is grid-connected and consists of a diesel generator and a battery bank. The proposed model is analyzed and validated using twenty combinations of different geographical locations and base station severity categories. The Genetic Algorithm in MATLAB was used for the optimization of the proposed model. The optimization results evidenced that the proposed model dynamically optimizes the electrical system and selects the most cost effective investment option based on grid power availability and customer categories, which guide mobile network operators to optimize their scarce resources for higher returns in revenue and customer satisfaction.