Algorithms of Energy Efficient Control of LED Street Lighting Installations

Abstract

A comparative analysis of existing street lighting installation (SLI) control algorithms has shown that modern implementation of energy-efficient control algorithms doesn’t take in account the requirements of regulatory documents to ensure the normative level of illumination of the road surface. Existing control algorithms based on deterministic methods, which does not provide a high level of energy efficiency in changing environmental conditions (weather, natural light) and uncertain initial data (traffic intensity). So, the work proposes to use the mathematical apparatus of artificial neural networks for the implementation of control algorithms with independent or united accounting of two input variables: natural luminosity and forecast of traffic intensity. The developed algorithms for energy-efficient control of the SLI are tested on a simulation model of a SLI control system created in the MATLAB software. The results of modeling are following: the implementation of the control algorithm allows to reduce energy consumption of the SLI by 35,9 % due to dimming of the light flux in hours with low traffic intensity, which confirms the energy-efficient functioning of the SLI, controlled by developed algorithm.