A novel hybrid PSO–GWO approach for unit commitment problem

Author:

Kamboj Vikram Kumar

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference38 articles.

1. Bhardwaj A, Tung NS, Shukla VK, Kamboj VK (2012) The important impacts of unit commitment constraints in power system planning. Int J Emerg Trends Eng Dev 5(2):301–306

2. Zhu J (2009) Unit commitment. In: EI-Hawary ME, Hanzo L (eds) Optimization of power system operation, 1st edn, chapter 7. Wiley-IEEE Press, Hoboken, pp 251–293

3. Rajan CCA, Mohan MR, Manivannan K (2002) Neural based tabu search method for solving unit commitment problem. In: Proceedings of international conference on power system management and control (conference on publication no. 488), London, pp 180–185

4. Kumar V, Bath SK (2013) Single area unit commitment problem by modern soft computing techniques. Int J Enhanc Res Sci Technol Eng 2(3). ISSN: 2319-7463

5. Sriyanyong P, Song YH (2005) Unit commitment using particle swarm optimization combined with Lagrange relaxation. In: Proceedings of IEEE power engineering society general meeting, San Francisco, vol 3, pp 2752–2759

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