Multi-Objective Optimal Power Flow Solutions Using Differential Search Algorithm

Isaree Srikun

doi:10.4028/www.scientific.net/AMR.1077.241

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 1077Multi-Objective Optimal Power Flow Solutions Using...

Multi-Objective Optimal Power Flow Solutions Using Differential Search Algorithm

Abstract:

This paper presents a Differential Search Algorithm for solving a multi-objective Optimal Power Flow (OPF) in support of power system operation and control . The multi-objective OPF was formulated for tackling with total generation cost and environmental impacts simultaneously. The proposed method was applied to the standard IEEE 30-bus test system. The results show that solving the multi-objective OPF problem by the Differential Search Algorithm is more effective than other swarm intelligence methods in the literature.

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Periodical:

Advanced Materials Research (Volume 1077)

Pages:

241-245

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1077.241

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Online since:

December 2014

Authors:

Isaree Srikun*

Keywords:

Differential Search Algorithm, Optimal Power Flow, Power System Operation

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* - Corresponding Author

References

[1] A. D. Wood, B. F. Wollenberg, Power System Generation and Control, John Wiley & Sons, Inc, (1996).

Google Scholar

[2] Deb K, Multi-objective Optimization using Evolutionary Algorithms, Stanford University Stanford, CA , pp.63-73, (2000).

Google Scholar

[3] D. T. Pham, A. Ghanbarzadeh, E. Koc, S. Otri, S. Rahim and M. Zaidi, Multi-objective Environmental/Economic Using the Bees Algorithm with Weighted Sum, in Proc. of the EU-Korea Conference on Science and Technology, pp.267-274, (2008).

DOI: 10.1007/978-3-540-85190-5_28

Google Scholar

[4] A. Yadav, Multi Objective Optimal Power Flow, Thapar University, Patiala, (2010).

Google Scholar

[5] Mohd Herwan, Sulaiman, Differential Search Algorithm for Economic Dispatch with Valve-Point Effects, in The 2nd International Conference on Engineering and Applied Science 2013 (ICEAS 2013), 15-17 Mar 2013, Toshi Center Hotel, Tokyo, Japan.

Google Scholar

[6] A. D. Wood, B. F. Wollenberg, Power System Generation and Control, John Wiley & Sons, Inc, (1996).

Google Scholar

[7] Deb K, Multi-objective Optimization using Evolutionary Algorithms, Stanford University Stanford, CA , pp.63-73, (2000).

Google Scholar

[8] Debkalpa Goswami and Shankar Chakraborty, Differential search algorithm-based parametric optimization of electrochemical micromachining processes, in International Journal of Industrial Engineering Computations, pp.41-54, (2014).

DOI: 10.5267/j.ijiec.2013.08.003

Google Scholar