Solution to unit commitment in power system operation planning using binary coded modified moth flame optimization algorithm (BMMFOA): A flame selection based computational technique-Reference-Cited by-同舟云学术

Solution to unit commitment in power system operation planning using binary coded modified moth flame optimization algorithm (BMMFOA): A flame selection based computational technique

Published:2018-03 Issue: Volume:25 Page:298-317
ISSN:1877-7503
Container-title:Journal of Computational Science
language:en
Short-container-title:Journal of Computational Science

Author:

K Srikanth Reddy,Panwar Lokesh Kumar,Panigrahi B.K.,Kumar Rajesh

Publisher

Elsevier BV

Subject

Modeling and Simulation,General Computer Science,Theoretical Computer Science

Reference58 articles.

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3. A fast technique for unit commitment problem by extended priority list;Senjyu;IEEE Trans. Power Syst.,2003

4. Fuzzy dynamic programming: an application to unit commitment;Chung-Ching;IEEE Trans. Power Syst.,1991

5. Unit commitment—a fuzzy mixed integer linear programming solution;Venkatesh;IET Gener. Transm. Distrib.,2007

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