TY - JOUR
T1 - On the Impact of Measurement Errors on Power System Automatic Generation Control
AU - Zhang, Jiangmeng
AU - Domínguez-García, Alejandro D.
N1 - Funding Information:
This work was supported in part by the Trustworthy Cyber Infrastructure for the Power Grid under U.S. Department of Energy under Award DE-OE0000097, in part by the National Science Foundation under Grant ECCS-CPS-1135598, and in part by the Consortium for Electric Reliability Technology Solutions.
Publisher Copyright:
© 2016 IEEE.
PY - 2018/5
Y1 - 2018/5
N2 - In this paper, we propose a framework to evaluate the impact on power system dynamic performance of different types of errors in the measurements utilized by the automatic generation control system. To address the random nature of these errors, stochastic system analysis methods are utilized to evaluate the statistics of system state variables. By examining the convergence properties of these statistics, errors that cause instability are identified. A reduced-order model, obtained by using singular perturbation arguments, is also formulated; this model enables us to provide analytical expressions for capturing the impact of the errors. The proposed method is illustrated and verified through several case studies with different types of errors on a simplified New England/New York system model.
AB - In this paper, we propose a framework to evaluate the impact on power system dynamic performance of different types of errors in the measurements utilized by the automatic generation control system. To address the random nature of these errors, stochastic system analysis methods are utilized to evaluate the statistics of system state variables. By examining the convergence properties of these statistics, errors that cause instability are identified. A reduced-order model, obtained by using singular perturbation arguments, is also formulated; this model enables us to provide analytical expressions for capturing the impact of the errors. The proposed method is illustrated and verified through several case studies with different types of errors on a simplified New England/New York system model.
KW - Power system automatic generation control
KW - measurement errors
KW - power system stability
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U2 - 10.1109/TSG.2016.2601149
DO - 10.1109/TSG.2016.2601149
M3 - Article
AN - SCOPUS:85046164740
SN - 1949-3053
VL - 9
SP - 1859
EP - 1868
JO - IEEE Transactions on Smart Grid
JF - IEEE Transactions on Smart Grid
IS - 3
ER -