A Cooperative Control Strategy for Distributed Multi-region Networked Microgrids
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-0063-3_56
Reference20 articles.
1. Xi, L., Wu, J., Xu, Y., et al.: Automatic generation control based on multiple neural networks with actor-critic strategy. IEEE Teans. Neural Netw. Learn. Syst. 32(6), 2483–2493 (2020)
2. Ullah, K., Basit, A., Ullah, Z., et al.: Automatic generation control strategies in conventional and modern power systems: a comprehensive overview. Energies 14(9), 2376–2419 (2021)
3. Golpira, H., Bevrani, H.: Application of GA optimization for automatic generation control design in an interconnected power system. Energy Convers. Manage. 52(5), 2247–2255 (2011)
4. Xi, L., Liu, L., Huang, Y., et al.: Research on hierarchical and distributed control for smart generation based on virtual wolf pack strategy. Complexity, 1–14 (2018)
5. Huang, C., Weng, S., Yue, D., et al.: Distributed cooperative control of energy storage units in microgrid based on multi-agent consensus method. Electric Power Syst. Res. 147, 213–223 (2017)
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