TY - JOUR
T1 - Distributed Formal Analysis for Power Networks with Deep Integration of Distributed Energy Resources
AU - Li, Yan
AU - Zhang, Peng
AU - Althoff, Matthias
AU - Yue, Meng
N1 - Funding Information:
Manuscript received March 1, 2018; revised July 31, 2018; accepted September 24, 2018. Date of publication October 10, 2018; date of current version October 24, 2019. This work was supported in part by the National Science Foundation under Grants CNS-1647209 and ECCS-1611095, in part by the Department of Energy’s Advanced Grid Modeling Program, in part by the Office of the Provost, University of Connecticut, and in part by the UTC Fellowship. Paper no. TPWRS-00298-2018. (Corresponding author: Peng Zhang.) Y. Li and P. Zhang are with the Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT 06269 USA (e-mail:, yan.7.li@uconn.edu; peng.zhang@uconn.edu).
Funding Information:
This work was supported in part by the National Science Foundation under Grants CNS-1647209 and ECCS-1611095, in part by the Department of Energy's Advanced Grid Modeling Program, in part by the Office of the Provost, University of Connecticut, and in part by the UTC Fellowship. Paper no. TPWRS-00298-2018.
Publisher Copyright:
© 1969-2012 IEEE.
PY - 2019/11
Y1 - 2019/11
N2 - A scalable distributed formal analysis (DFA) via reachable set computation is presented to efficiently evaluate the stability of large-scale interconnected power networks under heterogeneous disturbances induced by high penetration of distributed energy resources (DERs). Based on rigorous mathematical derivation, DFA is able to directly compute the boundaries of all possible dynamics and provide stability information, which is unattainable by traditional time-domain simulations or direct methods. An N+M decomposition approach is established to decouple a large-scale networked system and enable distributed reachable set calculations while also preserving the privacy of each subsystem. Numerical examples on a networked microgrid system show that DFA facilitates the efficient calculation and analysis of the impact DER disturbances can have on power network dynamics, which provides a potent means of optimizing the system's operation. Therefore, DFA provides an invaluable tool for designing and operating the interconnected power networks of the future, which will feature the deep integration of DERs.
AB - A scalable distributed formal analysis (DFA) via reachable set computation is presented to efficiently evaluate the stability of large-scale interconnected power networks under heterogeneous disturbances induced by high penetration of distributed energy resources (DERs). Based on rigorous mathematical derivation, DFA is able to directly compute the boundaries of all possible dynamics and provide stability information, which is unattainable by traditional time-domain simulations or direct methods. An N+M decomposition approach is established to decouple a large-scale networked system and enable distributed reachable set calculations while also preserving the privacy of each subsystem. Numerical examples on a networked microgrid system show that DFA facilitates the efficient calculation and analysis of the impact DER disturbances can have on power network dynamics, which provides a potent means of optimizing the system's operation. Therefore, DFA provides an invaluable tool for designing and operating the interconnected power networks of the future, which will feature the deep integration of DERs.
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U2 - 10.1109/TPWRS.2018.2875150
DO - 10.1109/TPWRS.2018.2875150
M3 - Article
AN - SCOPUS:85054696838
SN - 0885-8950
VL - 34
SP - 5147
EP - 5156
JO - IEEE Transactions on Power Systems
JF - IEEE Transactions on Power Systems
IS - 6
M1 - 8488579
ER -