Peiyun Li, Jian Fu, Kaigui Xie, et al. A defense planning model for a power system against coordinated cyber-physical attack[J]. Protection and Control of Modern Power Systems, 2024, 9(5).
DOI:
Peiyun Li, Jian Fu, Kaigui Xie, et al. A defense planning model for a power system against coordinated cyber-physical attack[J]. Protection and Control of Modern Power Systems, 2024, 9(5).DOI: 10.23919/PCMP.2023.000476.
A defense planning model for a power system against coordinated cyber-physical attack
This paper proposes a tri-level defense planning model to defend a power system against a coordinated cyber-physical attack (CCPA). The defense plan considers not only the standalone physical attack or the cyber attack
but also coordinated attacks. The defense strategy adopts coordinated generation and transmission expansion planning to defend against the attacks. In the process of modeling
the upper-level plan represents the perspective of the planner
aiming to minimize the critical load shedding of the planning system after the attack. The load resources available to planners are extended to flexible loads and critical loads. The middle-level plan is from the viewpoint of the attacker
and aims at generating an optimal CCPA scheme in the light of the planning strategy determined by the upper-level plan to maximize the load shedding caused by the attack. The optimal operational behavior of the operator is described by the lower-level plan
which minimizes the load shedding by defending against the CCPA. The tri-level model is analyzed by the column and constraint generation algorithm
which decomposes the defense model into a master problem and subproblem. Case studies on a modified IEEE RTS-79 system are performed to demonstrate the economic efficiency of the proposed model.
Intelligent Self-Adjusting Protection Algorithm for Smart LVDC Distribution Networks
Reliability-Based Design Optimization for Lithium-ion Batteries Considering the Venting Critical Time
Dual Alternative Iteration Algorithm-Based Hierarchical MPC Strategy for Frequency Regulation Control and Active Power Allocation of Wind-storage Coupling System
Energy Loss Optimization Method Considering the Time-varying Characteristics of Battery Energy Storage Systems
Real-Time Detection of Low-frequency Oscillations in Traction Power Supply Systems Based on Optimized Atomic Decomposition