Open AccessDynamic average modelling of renewable generation sources for real time simulation
Author(s) -
Nzimako Onyinyechi,
Jegues Christian,
Zhang Yi
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2018.9354
Subject(s) - computer science , real time simulation , renewable energy , hardware in the loop simulation , grid , smart grid , computation , real time computing , dynamic simulation , dynamic demand , simulation , power (physics) , embedded system , electrical engineering , engineering , physics , mathematics , algorithm , quantum mechanics , geometry
The increase in microgrids and smart grid research comprising renewable generation sources with advanced grid control functionalities is driving the need for sophisticated simulation and hardware in the loop (HIL) test facilities using digital real time simulators (DRTS). Unlike traditional off line simulation tools, DRTS provides fast, continuous real time operation as well as hardware interfaces to test the operation of physical control, protection and power devices before they are installed in the smart/micro grid application. The available computation resources of the DRTS to achieve fast, continuous real time operation impose a limitation on the size and level of detail of the power system model for the simulation and HIL application. Reduced dynamic models that represent the power system and control dynamics with sufficient accuracy provide an acceptable trade‐off between the required computation resources and size of the power system model for large simulation applications. This paper discusses the dynamic average modelling of renewable energy generation sources for real time simulation applications.