The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Maiden Application of Bacterial Foraging-Based Optimization Technique in Multiarea Automatic Generation Control
Abstract
A maiden attempt is made to examine and highlight the effective application of bacterial foraging (BF) to optimize several important parameters in automatic generation control (AGC) of interconnected three unequal area thermal systems, such as integral controller gains (KIi) for the secondary control, governor speed regulation parameters (Ri) for the primary control and frequency bias parameters (Bi), and compare its performance to establish its superiority over genetic algorithm (GA) and classical methods. Comparison of convergence characteristics of BF, GA, and classical approach reveals that the BF algorithm is quite faster in optimization, leading to reduction in computational burden and giving rise to minimal computer resource utilization. Simultaneous optimization of KIi, Ri, and Biparameters which surprisingly has never been attempted in the past, provides not only best dynamic response for the system but also allows use of much higher values of Ri(than used in practice), that will appeal to the power industries for easier and cheaper realization of governor. Sensitivity analysis is carried out which demonstrates the robustness of the optimized KIi, Ri, and Bito wide changes in inertia constant (H), reheat time constant (Tr), reheat coefficient (Kr), system loading condition, and size and position of step load perturbation.
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Cites
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A Hybrid Least Square-Fuzzy Bacterial Foraging Strategy for Harmonic Estimation
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Self-citationLiu, Y., & Passino, K. M. (2002) · Journal of Optimization Theory and Applications · doi:10.1023/a:1021207331209 · Cited by 320
Bacterial Foraging Technique-Based Optimized Active Power Filter for Load Compensation
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Self-citationApplication of neural networks to load-frequency control in power systems
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Anoune, K., Bouya, M., Astito, A., & Abdellah, A. B. (2018) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2018.05.032 · Cited by 382
Rout, U. K., Sahu, R. K., & Panda, S. (2013) · Ain Shams Engineering Journal · doi:10.1016/j.asej.2012.10.010 · Cited by 314
Sahu, B. K., Pati, S., Mohanty, P. K., & Panda, S. (2015) · Applied Soft Computing · doi:10.1016/j.asoc.2014.11.027 · Cited by 261
Kalyan, C., Goud, B., Reddy, C., Ramadan, H., Bajaj, M., & Ali, Z. (2021) · Energies · doi:10.3390/en14175387 · Cited by 61
Babu, N. R., Bhagat, S. K., Saikia, L. C., & Chiranjeevi, T. (2020) · Journal of Discrete Mathematical Sciences and Cryptography · doi:10.1080/09720529.2020.1728896 · Cited by 26
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Metadata
- Authors
- Nanda, J., Mishra, S., & Saikia, L. C.
- Venue
- IEEE Transactions on Power Systems
- Published
- 2009-05
- Volume
- 24
- Issue
- 2
- Pages
- 602-609
- ISSN
- 0885-8950 (ISSN-L)
- 1558-0679
- OpenAlex
- W2112921638
- Cited by
- 411
- References
- 10
- FWCI
- 8.71
- Type
- journal article
- Language
- en
- Open access
- closed
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