Abstract

Modern energy systems are rapidly changing and becoming increasingly complex. This process is facilitated by the growing demand for distributed energy resources, renewable energy sources, and distributed generation. This makes the energy system highly stochastic. An integral part of the concept of smart grids is the production of energy from distributed energy sources. Modernization of the energy network with the help of intelligent technologies allows us to fully take into account the peculiarities of energy consumption. The smart grid paradigm envisions flexible energy demand and storage to cope with the variability of renewable energy sources. A necessary condition for the implementation of demand response is an improved infrastructure, especially information and communication technologies. The paper presents the results of research on the quality of information flow management under conditions of stochastic energy consumption by maintaining a stationary queue of information transmission through the network and preventing overloading of the controlled network segment. The stages of monitoring and assessment of the network state, as well as the methodology of identification of network parameters are presented. According to the results of the analysis of the system of key network parameters and the specifics of their application for managing the quality of network service, it has been established that using the statistical approach one can distinguish between the key parameters of the network. The wireless network has been researched, which allows us to build a quality of service management system by regulating and shaping traffic. It is shown that when using a polling system with feedback on the speed of buffer filling to organize requests in the network, it is possible to maintain a stationary queue with a non-stationary flow of requests. Keywords: wireless network, information delay, stochastic energy consumption.

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