Page 127 - Read Online

Page 311 Peng et al. Intell Robot 2022;2(3):298­312 I http://dx.doi.org/10.20517/ir.2022.27

DECLARATIONS
Authors’ contributions
All authors contributed equally.

Financial support and sponsorship
This work was supported in part by the National Natural Science Foundation of China under Grant 62173218,
and the International Corporation Project of Shanghai Science and Technology Commission under Grant
21190780300.

Availability of data and materials
Not applicable.

Conflicts of interest
All authors declared that there are no conflicts of interest.

Ethical approval and consent to participate
Not applicable.

Consent for publication
Not applicable.

Copyright
© The Author(s) 2022.

REFERENCES
1. Mohandes B, El Moursi MS, Hatziargyriou N, El Khatib S. A review of power system flexibility with high penetration of renewables.
IEEE Trans Power Syst 2019;34:3140–55. DOI
2. Ranjan M, Shankar R. A literature survey on load frequency control considering renewable energy integration in power system: Recent
trends and future prospects. J Energy Stor 2022;45:103717. DOI
3. Peng C, Li F. A survey on recent advances in event­triggered communication and control. Inform Sci 2018;457:113–25. DOI
4. Zhou Q, Shahidehpour M, Paaso A, et al. Distributed control and communication strategies in networked microgrids. IEEE Communic
Surv & Tutori 2020;22:2586–633. DOI
5. Shang Y. Group consensus of multi­agent systems in directed networks with noises and time delays. Int J Syst Sci 2015;46:2481–92. DOI
6. Alhelou HH, Hamedani­Golshan ME, Zamani R, Heydarian­Forushani E, Siano P. Challenges and opportunities of load frequency control
in conventional, modern and future smart power systems: a comprehensive review. Energies 2018;11:2497. DOI
7. Yan Z, Xu Y. Data­driven load frequency control for stochastic power systems: a deep reinforcement learning method with continuous
action search. IEEE Trans Power Syst 2018;34:1653–56. DOI
8. Peng C, Wu J, Tian E. Stochastic event­triggered ∞ control for networked systems under denial of service attacks. IEEE Trans Syst,
Man, Cybern: Systems 2021. DOI
9. Shangguan XC, He Y, Zhang CK, et al. Control performance standards­oriented event­triggered load frequency control for power systems
under limited communication bandwidth. IEEE Trans Contr Syst Technol 2021;30:860–68. DOI
10. Tian E, Peng C. Memory­based event­triggering ∞ load frequency control for power systems under deception attacks. IEEE Trans
Cybern 2020;50:4610–18. DOI
11. Peng C, Sun H, Yang M, Wang YL. A survey on security communication and control for smart grids under malicious cyber attacks. IEEE
Trans Syst, Man, Cybern: Systems 2019;49:1554–69. DOI
12. Wang D, Chen F, Meng B, Hu X, Wang J. Event­based secure ∞ load frequency control for delayed power systems subject to deception
attacks. Appl Mathem Comput 2021;394:125788. DOI
13. Wu J, Peng C, Yang H, Wang YL. Recent advances in event­triggered security control of networked systems: a survey. Int J Syst Sci
2022;0:1–20. DOI
14. Freirich D, Fridman E. Decentralized networked control of systems with local networks: a time­delay approach. Automatica 2016;69:201–
9. DOI
15. Liu K, Fridman E, Hetel L, Richard JP. Sampled­data stabilization via round­robin scheduling: a direct Lyapunov­Krasovskii approach.
IFAC Proceed Vol 2011;44:1459–64. DOI
16. Ding D, Wang Z, Han QL, Wei G. Neural­network­based output­feedback control under round­robin scheduling protocols. IEEE trans