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Energies 2016, 9(3), 174; doi:10.3390/en9030174

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

1
Department of Electrical Engineering, National Chin-Yi University of Technology, No. 57, Sec. 2, Chung-Shan Rd., Taiping District, Taichung 41170, Taiwan
2
Department of Industrial Engineering and Management, National Chin-Yi University of Technology, No. 57, Sec. 2, Chung-Shan Rd., Taiping District, Taichung 41170, Taiwan
*
Author to whom correspondence should be addressed.
Academic Editor: Mark Deinert
Received: 17 October 2015 / Revised: 11 January 2016 / Accepted: 26 February 2016 / Published: 8 March 2016
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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. View Full-Text
Keywords: stand-alone power system (SAPS); extension theory; extension Taguchi method (ETM); analytic hierarchy process (AHP); loss of load probability (LOLP) stand-alone power system (SAPS); extension theory; extension Taguchi method (ETM); analytic hierarchy process (AHP); loss of load probability (LOLP)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Wang, M.-H.; Huang, M.-L.; Zhan, Z.-Y.; Huang, C.-J. Application of the Extension Taguchi Method to Optimal Capability Planning of a Stand-alone Power System. Energies 2016, 9, 174.

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