Open AccessDynamic simulation of CIG in large unbalanced distribution systems using an open source tool
Author(s) -
Yu Ziwei,
Tang Yingying,
Yao Tong,
Ayyanar Raja
Publication year - 2019
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.2018.6089
Subject(s) - phasor , computer science , microgrid , converters , waveform , power (physics) , dynamic simulation , control engineering , electronic engineering , control theory (sociology) , electric power system , voltage , simulation , engineering , control (management) , electrical engineering , telecommunications , radar , physics , quantum mechanics , artificial intelligence
This study explains the underlying concepts and implementation details of using an open source distribution analysis tool – OpenDSS to conduct dynamic simulations of converter interfaced generation (CIG) in large, realistic power distribution systems. The dynamic models of different types of CIGs are derived and written into the dynamic‐link library (DLL) to be called by OpenDSS during simulation. The DLL development is illustrated in detail with the programme structure and the model derivation of CIG. A phasor domain modelling method is adopted to derive single‐phase CIG models in order to make the DLL models compatible with OpenDSS. The conversion between phasor and natural waveform data when simulating single‐phase systems is discussed. The DLLs are derived based on the equations of the power stage circuit including the filters and the specific controllers. Applications of developed DLLs are illustrated with test cases, where volt‐VAR control and microgrid mode control of CIGs are tested in a large‐scale distribution system. This study can be used as a tutorial for performing the dynamic analysis for single‐phase converters in OpenDSS.