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Application of the Extension Taguchi Method to Optimal Capability Planning of a Stand-alone Power System

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  • Meng-Hui Wang

    (Department of Electrical Engineering, National Chin-Yi University of Technology, No. 57, Sec. 2, Chung-Shan Rd., Taiping District, Taichung 41170, Taiwan)

  • Mei-Ling Huang

    (Department of Industrial Engineering and Management, National Chin-Yi University of Technology, No. 57, Sec. 2, Chung-Shan Rd., Taiping District, Taichung 41170, Taiwan)

  • Zi-Yi Zhan

    (Department of Electrical Engineering, National Chin-Yi University of Technology, No. 57, Sec. 2, Chung-Shan Rd., Taiping District, Taichung 41170, Taiwan)

  • Chong-Jie Huang

    (Department of Electrical Engineering, National Chin-Yi University of Technology, No. 57, Sec. 2, Chung-Shan Rd., Taiping District, Taichung 41170, Taiwan)

Abstract

An Extension Taguchi Method (ETM) is proposed on the optimized allocation of equipment capacity for solar cell power generation, wind power generation, full cells, electrolyzer and hydrogen tanks. The ETM is based on the domain knowledge containing the product specifications and allocation levels provided by suppliers and design factors since most of the renewable energy equipment available in the market comes with a specific capacity. A proper orthogonal array is used to collect 18 sets of simulation responses. The extension theory is introduced to determine the correlation function, and factor effects are used to identify the optimized capacity allocation. The hours of power shortage are simulated using Matlab for all capacity allocations at the lowest establishment cost and the optimized capacity allocation of loss of load probability (LOLP). Finally, the extension theory, extension AHP theory, ETM and Analytic Hierarchy Process (AHP) are used to determine the optimized capacity allocation of the system. Results are compared for the above four optimization simulation methods and verify that the proposed ETM surpasses the others on achieving the optimized capacity allocation.

Suggested Citation

  • Meng-Hui Wang & Mei-Ling Huang & Zi-Yi Zhan & Chong-Jie Huang, 2016. "Application of the Extension Taguchi Method to Optimal Capability Planning of a Stand-alone Power System," Energies, MDPI, vol. 9(3), pages 1-17, March.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:3:p:174-:d:65290
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    References listed on IDEAS

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    1. Ekren, Orhan & Ekren, Banu Y., 2010. "Size optimization of a PV/wind hybrid energy conversion system with battery storage using simulated annealing," Applied Energy, Elsevier, vol. 87(2), pages 592-598, February.
    2. Nelson, D.B. & Nehrir, M.H. & Wang, C., 2006. "Unit sizing and cost analysis of stand-alone hybrid wind/PV/fuel cell power generation systems," Renewable Energy, Elsevier, vol. 31(10), pages 1641-1656.
    3. Chandel, S.S. & Ramasamy, P. & Murthy, K.S.R, 2014. "Wind power potential assessment of 12 locations in western Himalayan region of India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 530-545.
    4. Ai, B. & Yang, H. & Shen, H. & Liao, X., 2003. "Computer-aided design of PV/wind hybrid system," Renewable Energy, Elsevier, vol. 28(10), pages 1491-1512.
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    Cited by:

    1. Juncai Song & Fei Dong & Jiwen Zhao & Siliang Lu & Le Li & Zhenbao Pan, 2016. "A New Design Optimization Method for Permanent Magnet Synchronous Linear Motors," Energies, MDPI, vol. 9(12), pages 1-15, November.
    2. Sadeghi, Delnia & Ahmadi, Seyed Ehsan & Amiri, Nima & Satinder, & Marzband, Mousa & Abusorrah, Abdullah & Rawa, Muhyaddin, 2022. "Designing, optimizing and comparing distributed generation technologies as a substitute system for reducing life cycle costs, CO2 emissions, and power losses in residential buildings," Energy, Elsevier, vol. 253(C).

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