International Journal of Emerging Electric Power Systems
Editor-in-Chief: Sidhu, Tarlochan
Ed. by Khaparde, S A / Rosolowski, Eugeniusz / Saha, Tapan K / Gao, Fei
SCImago Journal Rank (SJR) 2014: 0.232
Source Normalized Impact per Paper (SNIP) 2014: 0.308
Impact per Publication (IPP) 2014: 0.304
Volume 16 (2015)
Volume 15 (2014)
Volume 14 (2013)
Volume 13 (2012)
Volume 12 (2011)
Volume 11 (2010)
Volume 10 (2009)
Volume 9 (2008)
Volume 8 (2007)
Most Downloaded Articles
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- Erratum to Harmonic Penetration Method for Radial Distribution Networks [Int. J. Emerg. Electr. Power Syst. DOI 10.1515/ijeeps-2013-0093] by Archundia-Aranda, I. and Mota-Palomino, R. O.
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Effect of Control Parameters on Differential Evolution based Combined Economic Emission Dispatch with Valve-Point Loading and Transmission Loss
Citation Information: International Journal of Emerging Electric Power Systems. Volume 9, Issue 4, ISSN (Online) 1553-779X, DOI: 10.2202/1553-779X.1918, October 2008
- Published Online:
Differential evolution (DE) has been proved to be a powerful evolutionary algorithm for global optimization in many engineering problems. The performance of this type of evolutionary algorithms is heavily dependent on the setting of control parameters. Proper selection of the control parameters is very important for the success of the algorithm. Optimal settings of control parameters of differential evolution depend on the specific problem under consideration. In this paper, a study of control parameters on differential evolution based combined economic emission dispatch with valve-point loading and transmission loss is conducted empirically. The problem is formulated considering equality constraints on power balance and inequality constraints on generation capacity limits as well as the transmission losses and effects of valve point loadings. The feasibility of the proposed method is demonstrated on a fourteen-generator system. The results of the effect of the variation of different parameters are presented systematically and it is observed that the search algorithm may fail in finding the optimal value if the parameter selection is not done with proper attention.
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