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Robust load frequency control using genetic algorithms and linear matrix inequalities
Abstract
In this paper, two robust decentralized control design methodologies for load frequency control (LFC) are proposed. The first one is based on H/sub /spl infin// control design using linear matrix inequalities (LMI) technique in order to obtain robustness against uncertainties. The second controller has a simpler structure, which is more appealing from an implementation point of view, and it is tuned by a proposed novel robust control design algorithm to achieve the same robust performance as the first one. More specifically, genetic algorithms (GAs) optimization is used to tune the control parameters of the proportional-integral (PI) controller subject to the H/sub /spl infin// constraints in terms of LMI. Hence, the second control design is called GALMI. Both proposed controllers are tested on a three-area power system with three scenarios of load disturbances to demonstrate their robust performances.
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Cited by
Pandey, S. K., Mohanty, S. R., & Kishor, N. (2013) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2013.04.029 · Cited by 561
Decentralized Sliding Mode Load Frequency Control for Multi-Area Power Systems
Mi, Y., Fu, Y., Wang, C., & Wang, P. (2013) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2013.2277131 · Cited by 337
A review of control techniques for inverter-based distributed energy resources applications
Hasheminasab, S., Alzayed, M., & Chaoui, H. (2024) · Energies · doi:10.3390/en17122940 · Cited by 56
Metadata
- Authors
- Rerkpreedapong, D., Hasanovic, A., & Feliachi, A.
- Venue
- IEEE Transactions on Power Systems
- Published
- 2003-05
- Volume
- 18
- Issue
- 2
- Pages
- 855-861
- ISSN
- 0885-8950 (ISSN-L)
- OpenAlex
- W2116323690
- Cited by
- 473
- References
- 0
- FWCI
- 10.39
- Type
- journal article
- Language
- en
- Open access
- closed
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- Rerkpreedapong, D., Hasanovic, A., & Feliachi, A. (2003). Robust load frequency control using genetic algorithms and linear matrix inequalities. IEEE Transactions on Power Systems. https://doi.org/10.1109/tpwrs.2003.811005
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