In this section
@article{Majumdar:2017:10.1109/TSTE.2017.2706965,
author = {Majumdar, A and Agalgoankar, YP and Pal, BC and Gottschalg, R},
doi = {10.1109/TSTE.2017.2706965},
journal = {IEEE Transactions on Sustainable Energy},
pages = {148--156},
title = {Centralized volt-var optimization strategy considering malicious attack on distributed energy resources control},
url = {http://dx.doi.org/10.1109/TSTE.2017.2706965},
volume = {9},
year = {2017}
}
TY - JOUR
AB - The adoption of information and communication technology (ICT) based centralized volt-var control (VVC) leads to an optimal operation of a distribution feeder. However, it also poses a challenge that an adversary can tamper with the metered data and thus can render the VVC action ineffective. Distribution system state estimation (DSSE) acts as a backbone of centralized VVC. Distributed energy resources (DER) injection measurements constitute leverage measurements from a DSSE point of view. This paper proposes two solutions as a volt var optimization-distribution system state estimation (VVO-DSSE) malicious attack mitigating strategy when the DER injection measurements are compromised. The first solution is based on local voltage regulation controller set-points. The other solution effectively employs historical data or forecast information. The concept is based on a cumulant based probabilistic optimal power flow with the objective of minimizing the expectation of total power losses. The effectiveness of the approach is performed on the 95-bus UK generic distribution system (UKGDS) and validated against Monte Carlo simulations.
AU - Majumdar,A
AU - Agalgoankar,YP
AU - Pal,BC
AU - Gottschalg,R
DO - 10.1109/TSTE.2017.2706965
EP - 156
PY - 2017///
SN - 1949-3037
SP - 148
TI - Centralized volt-var optimization strategy considering malicious attack on distributed energy resources control
T2 - IEEE Transactions on Sustainable Energy
UR - http://dx.doi.org/10.1109/TSTE.2017.2706965
UR - http://hdl.handle.net/10044/1/48596
VL - 9
ER -