Name
Abstract | ||
|---|---|---|
This paper develops a multi-level game-theoretic framework for determining a cost-effective defensive strategy for protecting power systems from false data injection attacks like load redistribution attacks. First, a multi-level optimization problem considering interactions among defenders, attackers and operators is modeled based on the minimax-regret decision rule, which is then reformulated as an equivalent bi-level mixed-integer linear programming problem. Next, an implicit enumeration algorithm is developed to find a globally optimal solution to this complex bi-level problem. Several acceleration techniques are introduced to improve the computation efficiency of the proposed method for large-scale power system applications. Last, the proposed defensive strategy is validated by case studies based on a six-bus test system and a modified two-area RTS-96 system. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TSG.2017.2788040 | IEEE Transactions on Smart Grid |
Keywords | Field | DocType |
Generators,Transmission line measurements,Power system stability,Computational modeling,Power measurement,Optimization | Decision rule,Mathematical optimization,Regret,Electric power system,Control engineering,Operator (computer programming),Linear programming,Acceleration,Engineering,Optimization problem,Computation | Journal |
Volume | Issue | ISSN |
10 | 2 | 1949-3053 |
Citations | PageRank | References |
2 | 0.37 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Abdullah Abusorrah | 1 | 121 | 17.75 |
| Ahmed Alabdulwahab | 2 | 86 | 8.23 |
| Zhiyi Li | 3 | 78 | 11.66 |
| Mohammad Shahidehpour | 4 | 355 | 75.28 |