Transmission line congestion management using hybrid water cycle moth flame optimization
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00542-024-05752-6.pdf
Reference32 articles.
1. Balaraman S, Kamaraj N (2010) congestion management in deregulated power systems using real coded genetic algorithm. Int J Eng Sci Technol 2(11):6681–6690
2. Balaraman S, Kamaraj N (2011) Transmission congestion management using particle swarm optimization. J Electr Syst 7(1):54–70
3. Bashir M, Paul WUH, Ahmad M, Ali D, Ali S (2021) An efficient hybrid TLBO-PSO approach for congestion management employing real power generation rescheduling. Smart Grid Renew Energy 12(08):113–135. https://doi.org/10.4236/sgre.2021.128008
4. Chintam JR, Daniel M (2018) Real-power rescheduling of generators for congestion management using a novel satin bowerbird optimization algorithm. Energies 11(1):183. https://doi.org/10.3390/en11010183
5. Deb S, Gope S, Goswami AK (2013). Generator rescheduling for congestion management with incorporation of wind farm using artificial bee colony algorithm. In: 2013 annual IEEE India conference (INDICON). https://doi.org/10.1109/indcon.2013.6726002
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