TY - GEN
T1 - Numerical Oscillation Prevention for PV Inverter Controllers in Quasi-Steady-State Simulators
AU - Duwadi, Kapil
AU - Dos Reis, Fernando B.
AU - Mahat, Rupak
AU - Fourney, Robert
AU - Tonkoski, Reinaldo
AU - Hansen, Timothy M.
AU - Bhattarai, Bishnu P.
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/8
Y1 - 2019/8
N2 - Droop-based inverter control methods are popular for preventing overvoltage in low voltage networks with high installations of photovoltaic (PV) solar. Quasi-steady-state simulators (QSTS) can be used to reduce the computational burden of conducting long-term techno-economic analyses of such PV inverter controllers. If dynamic models for droop-based controllers are directly implemented in QSTS, numerical oscillation occurs and the controllers fail to converge to their steady-state operation. In this paper, a power network sensitivity-based algorithm is proposed for preventing numerical oscillation while implementing active and reactive droop-based PV inverter controllers in QSTS (i.e., GridLAB-D). Convergence of the sensitivity-based algorithm is verified using a typical radial distribution feeder for three droop-based PV inverter controllers. The proposed algorithm limits the maximum error in voltage below 0.5% for all controllers compared to the dynamic simulation in PSCAD.
AB - Droop-based inverter control methods are popular for preventing overvoltage in low voltage networks with high installations of photovoltaic (PV) solar. Quasi-steady-state simulators (QSTS) can be used to reduce the computational burden of conducting long-term techno-economic analyses of such PV inverter controllers. If dynamic models for droop-based controllers are directly implemented in QSTS, numerical oscillation occurs and the controllers fail to converge to their steady-state operation. In this paper, a power network sensitivity-based algorithm is proposed for preventing numerical oscillation while implementing active and reactive droop-based PV inverter controllers in QSTS (i.e., GridLAB-D). Convergence of the sensitivity-based algorithm is verified using a typical radial distribution feeder for three droop-based PV inverter controllers. The proposed algorithm limits the maximum error in voltage below 0.5% for all controllers compared to the dynamic simulation in PSCAD.
KW - GridLAB-D
KW - PSCAD
KW - PV inverter control
KW - quasi-steady-state simulation
UR - http://www.scopus.com/inward/record.url?scp=85079043334&partnerID=8YFLogxK
U2 - 10.1109/PESGM40551.2019.8973451
DO - 10.1109/PESGM40551.2019.8973451
M3 - Conference contribution
AN - SCOPUS:85079043334
T3 - IEEE Power and Energy Society General Meeting
BT - 2019 IEEE Power and Energy Society General Meeting, PESGM 2019
PB - IEEE Computer Society
T2 - 2019 IEEE Power and Energy Society General Meeting, PESGM 2019
Y2 - 4 August 2019 through 8 August 2019
ER -