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Wind Power Integration: An Experimental Investigation for Powering Local Communities

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  • Mazhar Hussain Baloch

    (School of Electrical & Electronic Engineering, Universiti Sains Malaysia, 14300 Nibong Tebal, Malaysia
    Department of Electrical Engineering, Mehran University of Engg & Technology, 76062 Sindh, Pakistan)

  • Dahaman Ishak

    (School of Electrical & Electronic Engineering, Universiti Sains Malaysia, 14300 Nibong Tebal, Malaysia)

  • Sohaib Tahir Chaudary

    (School of Electronic Information & Electrical Engg, Shanghai Jiao Tong University, 200240 Shanghai, China
    Department of Electrical Engineering, COMSATS University, Islamabad, Sahiwal Campus, 57000 Sahiwal, Pakistan)

  • Baqir Ali

    (Department of Electrical Engineering, Mehran University of Engg & Technology, 76062 Sindh, Pakistan)

  • Ali Asghar Memon

    (Department of Electrical Engineering, Mehran University of Engg & Technology, 76062 Sindh, Pakistan)

  • Touqeer Ahmed Jumani

    (Department of Electrical Engineering, Mehran University of Engg & Technology, 76062 Sindh, Pakistan)

Abstract

The incorporation of wind energy as a non-conventional energy source has received a lot of attention. The selection of wind turbine (WT) prototypes and their installation based on assessment and analysis is considered as a major problem. This paper focuses on addressing the aforementioned issues through a Weibull distribution technique based on five different methods. The accurate results are obtained by considering the real-time data of a particular site located in the coastal zone of Pakistan. Based on the computations, it is observed that the proposed site has most suitable wind characteristics, low turbulence intensity, wind shear exponent located in a safe region, adequate generation with the most adequate capacity factor and wind potential. The wind potential of the proposed site is explicitly evaluated with the support of wind rose diagrams at different heights. The energy generated by ten different prototypes will suggest the most optimum and implausible WT models. Correspondingly, the most capricious as well as optimal methods are also classified among the five Weibull parameters. Moreover, this study provides a meaningful course of action for the selection of a suitable site, WT prototype and parameters evaluation based on the real-time data for powering local communities.

Suggested Citation

  • Mazhar Hussain Baloch & Dahaman Ishak & Sohaib Tahir Chaudary & Baqir Ali & Ali Asghar Memon & Touqeer Ahmed Jumani, 2019. "Wind Power Integration: An Experimental Investigation for Powering Local Communities," Energies, MDPI, vol. 12(4), pages 1-24, February.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:4:p:621-:d:206229
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    References listed on IDEAS

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    2. Mohamed Derbeli & Oscar Barambones & Jose Antonio Ramos-Hernanz & Lassaad Sbita, 2019. "Real-Time Implementation of a Super Twisting Algorithm for PEM Fuel Cell Power System," Energies, MDPI, vol. 12(9), pages 1-20, April.

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