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Evaluation of Wind Energy Potential Using an Optimum Approach based on Maximum Distance Metric

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  • Mehr Gul

    (School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
    Department of Electrical Engineering, Balochistan University of Information Technology, Engineering and Management Sciences (BUITEMS), Quetta 87300, Pakistan)

  • Nengling Tai

    (School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Wentao Huang

    (School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Muhammad Haroon Nadeem

    (School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Moduo Yu

    (School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

Abstract

The integration of wind power as an alternative energy source has gotten much attention globally. In this paper, the Weibull distribution model based on different artificial intelligent algorithms and numerical methods is used to evaluate the wind profile. The application of Weibull distribution in wind data assessment can be extensively found, but the methods applied for estimating the parameters still need improvement. Three artificial intelligent algorithms are presented as an alternative method for estimation of Weibull parameters, and an objective function is proposed through the concept of maximum distance metric. Its convergence was proven mathematically through its boundedness for all wind data types. The optimization methods based on the proposed objective function are compared with the conventional numerical approaches for Weibull parameter estimation. Two-year wind data from the site in the southern area of Pakistan has been used to conduct this analysis. Furthermore, this work provides an eloquent way for the selection of a suitable area, evaluation of parameters, and appropriate wind turbine models through real-time data for power production.

Suggested Citation

  • Mehr Gul & Nengling Tai & Wentao Huang & Muhammad Haroon Nadeem & Moduo Yu, 2020. "Evaluation of Wind Energy Potential Using an Optimum Approach based on Maximum Distance Metric," Sustainability, MDPI, vol. 12(5), pages 1-23, March.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:5:p:1999-:d:328875
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    References listed on IDEAS

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    3. Varadharajan Sankaralingam Sriraja Balaguru & Nesamony Jothi Swaroopan & Kannadasan Raju & Mohammed H. Alsharif & Mun-Kyeom Kim, 2021. "Techno-Economic Investigation of Wind Energy Potential in Selected Sites with Uncertainty Factors," Sustainability, MDPI, vol. 13(4), pages 1-31, February.

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