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The paper presents the principles of constructing a simulation model of an integrated multi-energy system based on the energy hub concept. An example of application of the developed simulation model is given. The proposed approach offers a broad prospect for the study of many significant problems in integrated power systems with multiple carriers, including their properties, features of expansion and operation. This paper makes a contribution to the important area of research at issue.

Integrated multi-energy systems give good possibilities to have high effectiveness of energy supply to consumers. The concept of energy hub is developed for modeling and simulation of integrated multi-carrier systems. Based on previous investigations, in this paper the authors develop the simulation model of energy hub. Basic principles of designing simulation energy hub model are discussed. Realization of simulation model using Matlab/Simulink is suggested. Simulation results for integrated electricity and heat demand systems are explained as the possibilities demonstration of simulation energy hub model.

The presence of a great number of technical facilities that form a base of the intelligent network in the modern electric power systems requires a principally new approach to the research into the dynamic operating conditions of these systems. Currently consumers impose higher requirements for the quality of electricity and reliability of electricity supply. Therefore, the operating conditions of such power systems and their control, including that in the emergency conditions represent a challenging problem that needs to be studied. The authors use a universal approach to the mathematical modeling which is based on the input-output system represented by Volterra integro-power series. Staged training inputs were applied to identify transient characteristics. The calculation results presented in the paper demonstrate an increase in the modeling accuracy due to a more complete consideration of information on system outputs to the test inputs.

Currently, due to the global shortage of energy carriers the goal of more efficient use of the existing power sources and transmission lines is getting increasingly more important. At the same time, however, there is a known contradiction. In order to enhance the efficiency, we use advanced industrial electronics, rectifiers, frequency transducers, inverters, etc. This increases the efficiency of the technological plants, but at the same time the supply voltage suffers from an elevated level of harmonic components in the network. As is well known, nonlinear load generates harmonic components, resulting in a change of delivered power characteristics, namely indicators degrades the supplied power quality. In turn, the deterioration of the power quality leads to its overrun. In this regard, the problem of monitoring and reducing the harmonic components is relevant. Timely and accurate measurements based on data recorders vector quantities with high resolution, offers the prospect of continuous monitoring of the quality of power supply. The paper presents a system of continuous power quality monitoring. The system makes it possible to detect a source and a level of nonlinear distortions (harmonics), estimate the harmonic energy cost and control power quality parameters.

The paper presents an approach to the construction of a system for automatic control of nonlinear dynamic objects on the basis of Volterra polynomials. The dynamic characteristics of control in terms of the electromechanical facility location are studied. Consideration is given to a model of horizontal-axis wind turbine represented by a system of the nonlinear first order differential-algebraic equations.

Many regions in Russia have no centralized electricity supply because of their geographical location. Taking into account variable electricity generation, available energy storage systems, as well as stricter requirements imposed by consumers on power quality and electricity supply reliability, we can say that operating conditions of such systems and their control, including emergency control, represent a difficult problem that needs to be studied. Generation from wind power plants, however, is a vivid example of stochastic operation of generators. The research is aimed at developing algorithms for the construction of automated systems to control active components of the electrical network. The method applied in the research to describe the object of control is based on the universal approach to the mathematical modelling of nonlinear dynamic system of a black-box type represented by the Volterra polynomials of the N-th degree. This makes it possible for the input and output characteristics of the object to obtain an adequate and fast mathematical description. Results of the computational experiment demonstrate the applicability of the mathematical tool to the control of active components of the intelligent power system.

The construction of automated systems intended for the control of electric power systems requires high-speed mathematical tools. The research is aimed at developing algorithms for the construction of automated systems to control active components of the electrical network. The method applied by the authors to describe the object of control is based on the universal approach to the mathematical modeling of nonlinear dynamic system of a black-box type represented by the Volterra polynomial of the N-th degree. The paper presents a new algorithm for the identification of Volterra polynomial of the second degree for non-stationary dynamic systems which allow an active experiment using test sets of input signals. This makes it possible for the input and output characteristics of the object to obtain an adequate and fast mathematical description. The results enable us to assess the applicability of this mathematical apparatus to the control of active components of electric power system in which power quality parameters are taken into account as an objective vector.