APPLICATION OF THE HIERARCHY ANALYSIS METHOD FOR POWER SUPPLY MANAGEMENT SYSTEMS AT TRANSPORT INFRASTRUCTURE FACILITIES

DOI 10.31673/2412-4338.2025.012020

Abstract

In the context of increasing electricity consumption and rising energy costs, the dependence of modern infrastructure on a reliable and uninterrupted power supply is becoming more evident. Unfortunately, in today's conditions, many regions of the country are increasingly experiencing power supply failures at various facilities (both industrial and civilian). Therefore, the transition of energy systems that rely solely on traditional energy sources to systems that additionally incorporate alternative sources of electrical energy is a relevant scientific and technical challenge. The failure-free operation time and efficiency of alternative sources depend on numerous factors (including weather conditions) and the requirements of consumer facilities. Hence, it is necessary to develop methods for selecting a power source based on these conditions. Thus, the problem of multi-criteria decisionmaking arises. This article examines the application of the Analytic Hierarchy Process (AHP) method for selecting the optimal alternative power source for transport infrastructure facilities. Three power sources were considered in the study: a photovoltaic panel, a wind turbine, and a diesel generator. The problem was decomposed, evaluation criteria for the alternatives were determined, and pairwise comparisons of options were performed, taking into account weather conditions, environmental impact, and energy cost. The consistency of expert opinions and the compliance of the obtained results with optimality criteria were assessed. The proposed approach contributes to increasing energy efficiency and ensuring the uninterrupted operation of infrastructure facilities by providing a well-founded decision-making process regarding the use of renewable energy sources. The methodology integrates with computer control systems, allowing real-time data analysis via network interfaces, automation of power source switching, and monitoring of energy system status using information systems. This ensures adaptation to dynamic conditions, such as weather changes or network load fluctuations. The study can be implemented in cyber-physical critical infrastructure systems, where the interaction between hardware components and software is key to energy sustainability.

Keywords: Analytic Hierarchy Process, information systems, automated control systems, alternative power sources, transport infrastructure, optimization, energy efficiency, reliability, cyber-physical systems.