Optimal Sizing of Hybrid Energy System Using Ant Colony Optimization

Volume: 4 Number: 4 December 1, 2014
  • Payal Suhane
International Journal Of Renewable Energy Research Cover
International Journal Of Renewable Energy Research
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Optimal Sizing of Hybrid Energy System Using Ant Colony Optimization

Abstract

A Hybrid Energy System (HES) consisting wind/solar/Battery has been analyzed for a particular load profile. This analysis is done with the aim of obtaining optimal sizing of HES. Optimal sizing results are obtained with considering important factors such as reliability, cost and other unexpected uncertainties. Dependency of Sources on atmospheric factors introduces nonlinearity in the system and on the demand side also load is fluctuating. For highly non-linear problem it is not preferable to do analysis with conventional optimization technique. Further this paper proposed an Ant Colony Optimization (ACO) based approach to get optimal sizing of HES. The outcome is compared with the previously applied technique to confirm the efficacy and compatibility of proposed technique for considered HES.

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Primary Language

English

Subjects

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Journal Section

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Authors

Payal Suhane This is me

Publication Date

December 1, 2014

Submission Date

February 3, 2016

Acceptance Date

-

Published in Issue

Year 2014 Volume: 4 Number: 4

IZ

https://izlik.org/JA83SD76AL

Cite

RIS / Bibtex
APA
Suhane, P. (2014). Optimal Sizing of Hybrid Energy System Using Ant Colony Optimization. International Journal Of Renewable Energy Research, 4(4), 936-942. https://izlik.org/JA83SD76AL
AMA
1.Suhane P. Optimal Sizing of Hybrid Energy System Using Ant Colony Optimization. International Journal Of Renewable Energy Research. 2014;4(4):936-942. https://izlik.org/JA83SD76AL
Chicago
Suhane, Payal. 2014. “Optimal Sizing of Hybrid Energy System Using Ant Colony Optimization”. International Journal Of Renewable Energy Research 4 (4): 936-42. https://izlik.org/JA83SD76AL.
EndNote
Suhane P (December 1, 2014) Optimal Sizing of Hybrid Energy System Using Ant Colony Optimization. International Journal Of Renewable Energy Research 4 4 936–942.
IEEE
[1]P. Suhane, “Optimal Sizing of Hybrid Energy System Using Ant Colony Optimization”, International Journal Of Renewable Energy Research, vol. 4, no. 4, pp. 936–942, Dec. 2014, [Online]. Available: https://izlik.org/JA83SD76AL
ISNAD
Suhane, Payal. “Optimal Sizing of Hybrid Energy System Using Ant Colony Optimization”. International Journal Of Renewable Energy Research 4/4 (December 1, 2014): 936-942. https://izlik.org/JA83SD76AL.
JAMA
1.Suhane P. Optimal Sizing of Hybrid Energy System Using Ant Colony Optimization. International Journal Of Renewable Energy Research. 2014;4:936–942.
MLA
Suhane, Payal. “Optimal Sizing of Hybrid Energy System Using Ant Colony Optimization”. International Journal Of Renewable Energy Research, vol. 4, no. 4, Dec. 2014, pp. 936-42, https://izlik.org/JA83SD76AL.
Vancouver
1.Payal Suhane. Optimal Sizing of Hybrid Energy System Using Ant Colony Optimization. International Journal Of Renewable Energy Research [Internet]. 2014 Dec. 1;4(4):936-42. Available from: https://izlik.org/JA83SD76AL