Communication technology selection method for smart energy metering based on analytic hierarchy process

Abstract

As new communication technologies continue to emerge and the integration of these technologies into the modernization of the electricity grid becomes increasingly necessary, a variety of communication protocols and combinations are being explored for their potential use in the smart grid domain. However, given the multitude of technological possibilities available, choosing the optimal technology capable of adequately addressing the communication requirements of the intelligent grid remains a challenge for utilities. This is due, on the one hand, to the fact that different intelligent grid applications have different qualitative and quantitative communication requirements. Moreover, on the other hand, each technology has advantages and disadvantages concerning its performance characteristics in such requirements. This work uses the AHP (Analytic Hierarchy Process) methodology to select the wireless technology that presents the best performance characteristics concerning determined requirements. For this, a computational algorithm was developed in the Matlab programming environment, through which criteria such as data rate, latency, range, security, reliability, and interoperability were compared to select the best technological alternative among Wi-Fi, ZigBee, Z-Wave, and Bluetooth. Data collected from the literature review, with the performance characteristics of these technologies, were applied in a single case study simulating the practical implementation of this work. Among the analyzed criteria, simulations demonstrated that Wi-Fi was the winning technology alternative with 32.353%, followed by Z-Wave with 29.865% in second place, and ZigBee and Bluetooth were ranked third and fourth with 25.255% and 12.527%, respectively. In addition, sensitivity analysis shows how the AHP methodology can be a feasible alternative to assist decision-making in the smart grid domain.