A dynamic model for multi-objective feeder reconfiguration in distribution network considering demand response program
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Energy,Economics and Econometrics,Modeling and Simulation
Link
https://link.springer.com/content/pdf/10.1007/s12667-022-00507-6.pdf
Reference44 articles.
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2. Narimani, M.R., et al.: Enhanced gravitational search algorithm for multi-objective distribution feeder reconfiguration considering reliability, loss and operational cost. IET Gener. Transm. Distrib. 8(1), 55–69 (2014)
3. Mahboubi-Moghaddam, E., et al.: Multi-objective distribution feeder reconfiguration to improve trans,ient stability, and minimize power loss and operation cost using an enhanced evolutionary algorithm at the presence of distributed generations. Int. J. Electr. Power Energy Syst. 76, 35–43 (2016)
4. Azizivahed, A., et al.: A hybrid evolutionary algorithm for secure multi-objective distribution feeder reconfiguration. Energy 138, 355–373 (2017)
5. López, J.C., Lavorato, M., Rider, M.J.: Optimal reconfiguration of electrical distribution systems considering reliability indices improvement. Int. J. Electr. Power Energy Syst. 78, 837–845 (2016)
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