E3S Web Conf.
Volume 124, 2019International Scientific and Technical Conference Smart Energy Systems 2019 (SES-2019)
|Number of page(s)||5|
|Section||Energy Systems and Complexes|
|Published online||25 October 2019|
Development of the methodological basis of the simulation modelling of the multi-energy systems
Irkutsk National Research Technical University, Irkutsk, Russia
2 Kazan State Power Engineering University, Kazan, Russia
3 Fraunhofer Institute IFF, Magdeburg, Germany
4 University of Applied Science Magdeburg-Stendal, Magdeburg, Germany
* Corresponding author: email@example.com
The most modern technical systems are an integration of various energy converters and sources of various physical nature. Mechanical, thermal, electromagnetic, as well as computer (information) monitoring and control system. Multi-energy systems (MES) also belong to the class of such technical devices. The main task in creating mathematical models is a methodological approach that allows joint modelling of 6 energy objects of various nature on a single methodological basis. The article considers the main approaches to the mathematical description of MES, as well as the assumptions and stages of formation for modelling this class of technical systems. The main advantages and disadvantages of the proposed methods for creating mathematical models are considered taking into account the possibility of using optimization methods and using the above models as digital twins for control systems. In addition, the article will present a methodological approach to the formation of mathematical models of an integrated energy system based on the concept of an energy hub using MATLAB.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.