Grey wolf optimizer-assisted R-method-based weighted minimization for automatic generation control in two-area interconnected power system
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Control and Optimization,Mechanical Engineering,Modeling and Simulation,Civil and Structural Engineering,Control and Systems Engineering
Link
https://link.springer.com/content/pdf/10.1007/s40435-022-01070-9.pdf
Reference52 articles.
1. Zhang W, Sheng W, Duan Q, Huang H, Yan X (2022) Automatic generation control with virtual synchronous renewables. J Modern Power Syst Clean Energy. https://doi.org/10.35833/MPCE.2020.000921
2. Jaleeli N, VanSlyck LS, Ewart DN, Fink LH, Hoffmann AG (1992) Understanding automatic generation control. IEEE Trans Power Syst 7(3):1106–1122
3. Paliwal N, Srivastava L, Pandit M (2020) Application of grey wolf optimization algorithm for load frequency control in multi-source single area power system. Evolut Intell. https://doi.org/10.1007/s12065-020-00530-5
4. Krishna PJ, Meena VP, Singh VP, Khan B (2022) Rank-sum-weight method based systematic determination of weights for controller tuning for automatic generation control. IEEE Access 10:68161–68174. https://doi.org/10.1109/ACCESS.2022.3186093
5. Godara K, Kumar N, Palawat KP (2022) Performance comparison of GA, PSO and WCA for three area interconnected load frequency control system. In: Suhag S, Mahanta C, Mishra S (eds) Control and measurement applications for smart grid: select proceedings of SGESC 2021. Springer, Singapore, pp 373–382. https://doi.org/10.1007/978-981-16-7664-2_30
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