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

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 pr...

Full description

Saved in:
Bibliographic Details
Published in:Energies (Basel) 2016-03, Vol.9 (3), p.174
Main Authors: Wang, Meng-Hui, Huang, Mei-Ling, Zhan, Zi-Yi, Huang, Chong-Jie
Format: Article
Language:English
Subjects:
Alternative energy sources
analytic hierarchy process (AHP)
Electricity distribution
Electricity generation
Energy storage
extension Taguchi method (ETM)
extension theory
Fuel cells
Genetic algorithms
Hydrogen
loss of load probability (LOLP)
Optimization
Power supply
Renewable resources
stand-alone power system (SAPS)
Taguchi methods
Variance analysis
Wind power
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:1996-1073
1996-1073
DOI:10.3390/en9030174