Novel Approach for Optimal Sizing of Stand-alone Hybrid Photovoltaic/Wind Systems

Subject Areas : International Journal of Smart Electrical Engineering

Zakieh Tolooi ¹ , Hadi Zayandehroodi ² , Alimorad Khajehzadeh ³

1 - Science and research, Islamic Azad University, Kerman, Iran
2 - Science and research, Islamic Azad University, Kerman, Iran
3 - Science and research, Islamic Azad University, Kerman, Iran

Received: 2015-04-21 Accepted : 2015-04-21 Published : 2014-10-01

Keywords: Renewable energies, Energy Hybrid Systems, GSA, PSO, Sizing,

Abstract :

Nowadays using of new energies in the form of dispersed resources in the worlds is wide spreading. In this article we will design a dispersed production source in the form of a solar/wind hybrid power plant in order to supply the energy of a residential unit according to a sample load pattern. The aim of aforementioned design is to reduce its costs in a period of 20 years. In order to optimize system costs we will use a new algorithm which is based on collective intelligence namely gravitational search algorithm and also we will use particle swarm optimization algorithm. At the end of the article we will present anemometry and radiation data which is collected from an area in Ardebil and Mashhad, note that these data is optimized based on our suggested algorithm. Finally we can conclude that with an appropriate design of dispersed production resources we will be able to effectively reduce costs and make renewable energy usage more economically.

References:

[1] Koutroulis , D. Kolokotsa, A. Potirakis, and K. Kalaitzakis,

“Methodology for Optimal Sizing of Stand-Alone

Photovoltaic/Wind-Generator Systems Using Genetic

Algorithms”, Solar Energy, Vol.80, pp.1072-1088, 2006.

[2] A. K. Kaviani, H. R. Baghaie, and G. Riahi , “Optimal Sizing

of a Hybrid PV/WG Using PSO”, In Proceedings of 22th

Power System Conference (PSC 2007), Tehran, Iran, 2007.

[3] F. Jahanbani A., G. H. Riahy, and M. Abedi, “Optimal Sizing

of a Stand-Alone Hybrid Wind/PV/Battery System

Considering Reliability Indices Accompanied by Error

Propagation Assessment”, International Review of Electrical

Engineering (I.R.E.E), Vol.5, No.2, pp.748-757, March-April

2010.

[4] M. Dali, J. Belhadj, and X. Roboam, “Design of a Stand-

Alone Hybrid Photovoltaic-Wind Generating System with

Battery Storage”, ICEEDT Conference, 2008.

[5] S. Diaf, M. Belhamel, M. Haddadi, and A. Louche, “A

Methodology for Optimal Sizing of Autonomous Hybrid

PV/Wind System, Energy Policy, Vol.35, No.11, 2007.

[6] W. Zhou, C. Lou, Z. Li, L. Lu and H. Yang, “Current Status

of Research on Optimum Sizing of Stand-Alone Hybrid

Solar–Wind Power Generation Systems”, Applied Energy,

Vol.87, pp.380-389, 2010.

[7] Z. Tolooee, H. ZayandehRoodi, A. KhajeZadeh, “Review of

Optimal Sizing Problem of Hybrid Renewable Energy forStand Alone Systems”, Third Conference of Clean Energy, Kerman, Iran, 2013.

[8]

H. Yang, W. Zhou, L. Lu and Z. Fang, “Optimal Sizing Method for Stand-Alone Hybrid Solar–Wind System with LPSP Technology by Using Genetic Algorithm”, Solar Energy, Vol.82, pp.354-367, 2008.

[9]

S. M. Hakimi, and S. M. Moghaddas-Tafreshi, “Optimal Sizing of a Stand-Alone Hybrid Power System Via Particle Swarm Optimization for Kahnouj Area in South-East of Iran”, Renewable Energy, Vol.34, pp.1855-1862, 2009.

[10]

E. Rashedi , H. Nezamabadi-pour, and S. Saryazdi, “GSA: A Gravitational Search Algorithm”, Information Sciences, Vol.179, No.13, pp.2232-2248, June 2009.