Open AccessOpen‐source framework for power system transmission and distribution dynamics co‐simulation
Author(s) -
Huang Renke,
Fan Rui,
Daily Jeff,
Fisher Andrew,
Fuller Jason
Publication year - 2017
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2016.1556
Subject(s) - computer science , transient (computer programming) , co simulation , transmission (telecommunications) , interface (matter) , stability (learning theory) , grid , transmission system , distributed computing , electric power system , smart grid , power transmission , simulation , power (physics) , engineering , telecommunications , electrical engineering , physics , mathematics , quantum mechanics , geometry , bubble , maximum bubble pressure method , machine learning , parallel computing , operating system
The promise of the smart grid entails more interactions between the transmission and distribution networks, and there is an immediate need for tools to provide the comprehensive modelling and simulation required to integrate operations at both transmission and distribution levels. Existing electromagnetic transient simulators can perform simulations with integration of transmission and distribution systems, but the computational burden is high for large‐scale system analysis. For transient stability analysis, currently there are only separate tools for simulating transient dynamics of the transmission and distribution systems. In this study, the authors introduce an open‐source co‐simulation framework ‘framework for network co‐simulation’ (FNCS), together with the decoupled simulation approach that links existing transmission and distribution dynamic simulators through FNCS. FNCS is a middleware interface and framework that manages the interaction and synchronisation of the transmission and distribution simulators. Preliminary testing results show the validity and capability of the proposed open‐source co‐simulation framework and the decoupled co‐simulation methodology.