TY - GEN
T1 - Open-source software for modeling and analysis of power networks in the dq0 reference frame
AU - Levron, Yoash
AU - Belikov, Juri
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/13
Y1 - 2017/7/13
N2 - This paper joins the developing trend of modeling distributed generators based on dq0 quantities, and proposes an open-source software for modeling and analysis of large-scale power networks based on dq0 signals. The dynamic models describing the network are provided as state-space objects that are sparse and of minimal order. The software supports integration of various models of synchronous machines, loads and renewable sources, and enables analysis of the complete system, including the feedback between the active units and the transmission network. In addition, functions are provided for computing time-domain transients, and for evaluating the system stability. The package contains several examples demonstrating modeling and stability analysis of small microgrids containing renewable sources, as well as of large networks with a variety of generators and loads.
AB - This paper joins the developing trend of modeling distributed generators based on dq0 quantities, and proposes an open-source software for modeling and analysis of large-scale power networks based on dq0 signals. The dynamic models describing the network are provided as state-space objects that are sparse and of minimal order. The software supports integration of various models of synchronous machines, loads and renewable sources, and enables analysis of the complete system, including the feedback between the active units and the transmission network. In addition, functions are provided for computing time-domain transients, and for evaluating the system stability. The package contains several examples demonstrating modeling and stability analysis of small microgrids containing renewable sources, as well as of large networks with a variety of generators and loads.
KW - Power system dynamics
KW - modeling
KW - simulation
UR - http://www.scopus.com/inward/record.url?scp=85019762899&partnerID=8YFLogxK
U2 - 10.1109/PTC.2017.7980912
DO - 10.1109/PTC.2017.7980912
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AN - SCOPUS:85019762899
T3 - 2017 IEEE Manchester PowerTech, Powertech 2017
BT - 2017 IEEE Manchester PowerTech, Powertech 2017
T2 - 2017 IEEE Manchester PowerTech, Powertech 2017
Y2 - 18 June 2017 through 22 June 2017
ER -