TY - GEN
T1 - The Impact of Load Altering Attacks on Distribution Systems with ZIP Loads
AU - Maleki, Sajjad
AU - Pan, Shijie
AU - Belmega, E. Veronica
AU - Konstantinou, Charalambos
AU - Lakshminarayana, Subhash
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Load-altering attacks (LAAs) pose a significant threat to power systems with Internet of Things (IoT)-controllable load devices. This research examines the detrimental impact of LAAs on the voltage profile of distribution systems, taking into account the realistic load model with constant impedance Z, constant current I, and constant power P (ZIP). We derive closed-form expressions for computing the voltages of buses following LAA by making approximations to the power flow as well as the load model. We also characterize the minimum number of devices to be manipulated in order to cause voltage safety violations in the system. We conduct extensive simulations using the IEEE-33 bus system to verify the accuracy of the proposed approximations and highlight the difference between the attack impacts while considering constant power and the ZIP load model (which is more representative of real-world loads).
AB - Load-altering attacks (LAAs) pose a significant threat to power systems with Internet of Things (IoT)-controllable load devices. This research examines the detrimental impact of LAAs on the voltage profile of distribution systems, taking into account the realistic load model with constant impedance Z, constant current I, and constant power P (ZIP). We derive closed-form expressions for computing the voltages of buses following LAA by making approximations to the power flow as well as the load model. We also characterize the minimum number of devices to be manipulated in order to cause voltage safety violations in the system. We conduct extensive simulations using the IEEE-33 bus system to verify the accuracy of the proposed approximations and highlight the difference between the attack impacts while considering constant power and the ZIP load model (which is more representative of real-world loads).
KW - Cybersecurity
KW - distribution system
KW - IoT-controllable devices
KW - load altering attack
KW - voltage profile
KW - ZIP load
UR - http://www.scopus.com/inward/record.url?scp=85207445476&partnerID=8YFLogxK
U2 - 10.1109/PESGM51994.2024.10688940
DO - 10.1109/PESGM51994.2024.10688940
M3 - Conference contribution
AN - SCOPUS:85207445476
T3 - IEEE Power and Energy Society General Meeting
BT - 2024 IEEE Power and Energy Society General Meeting, PESGM 2024
PB - IEEE Computer Society
T2 - 2024 IEEE Power and Energy Society General Meeting, PESGM 2024
Y2 - 21 July 2024 through 25 July 2024
ER -