Abstract | ||
---|---|---|
Like the Internet in the computer industry that shifted from a centralized mainframe to a client-based structure, “energy Internet” was proposed to involve the customers and incorporate renewable energy. To empower such bidirectional communication and power management, the power grid deploys massive smart meters and wireless communication techniques. In this context, false data attacks are more likely to occur in an energy Internet system, and considerable imprecision could be caused for the state estimator. In this paper, resilient and real-time state estimation is proposed. First, we investigate the mechanism of the stealthy false data attack and the countermeasures. Then, based on the accurate and reliable pseudovoltage measurements, a changed measurements-based sequential state estimation is introduced. Finally, both simulation results and practical implementation demonstrate the efficacy and efficiency of the proposed state estimation method for the energy Internet. |
Year | DOI | Venue |
---|---|---|
2019 | 10.1109/TII.2019.2897174 | IEEE Transactions on Industrial Informatics |
Keywords | Field | DocType |
Internet,State estimation,Smart meters,Phasor measurement units,Big Data,Smart grids,Measurement uncertainty | Power management,Wireless,Renewable energy,Smart grid,Computer science,Measurement uncertainty,Real-time computing,Bidirectional communication,Big data,Distributed computing,The Internet | Journal |
Volume | Issue | ISSN |
15 | 5 | 1551-3203 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Chunming Tu | 1 | 0 | 1.01 |
Xi He | 2 | 1 | 1.05 |
Xuan Liu | 3 | 297 | 38.07 |
Zhikang Shuai | 4 | 1 | 1.03 |
Li Yu | 5 | 18 | 2.86 |