Towards multipartite adaptive binary-real quantum inspired evolutionary algorithm for scheduling wind-thermal units

Author:

Singh Jitender,Mani Ashish,Singh H. P.,Rana D. S.

Publisher

AIP Publishing

Reference26 articles.

1. https://cea.nic.in/installed-capacity-report/?lang=en, Al15l India Installed Capacity report, march 2021. Downloaded on 5/2/2021. at 9:45 pm.16

2. https://powermin.gov.in/en/content/pow17er-sector-glance-all-india/Downloaded on 5/2/2021. at 9:38 pm. Brittany Wright, “A Review of Unit Commitment”, ELENE4511, May 28, 2013.

3. Anupam Trivedi, Dipti Srinivasan, Thomas Reindl, and Chanan Singh, “A Multi-objective Genetic Algorithm for Unit Commitment with Significant Wind Penetration”, 978-1-4799-7492-4/15/$31.00 (c) 2015 IEEE.

4. Yang Wang, Qing Xia and Chongqing Kang, “A Novel Security Stochastic Unit Commitment for Wind-Thermal System Operation”, 978-1-4577-0365-2/11/$26.00 ©2011 IEEE.

5. Pengpeng Yang, Long Zhao and Zhi Li, “A Practical Method of Unit Commitment Considering Wind Power”, 978-1-4244-8921-3/10/$26.00 ©2010 IEEE.

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