Sensitivity analysis of a hydroelectric production power plant under reworking scheme using fuzzy AHP approach
- 14 March 2018
- journal article
- research article
- Published by Informa UK Limited in Journal of Industrial and Production Engineering
- Vol. 35 (8), 481-485
- https://doi.org/10.1080/21681015.2018.1446460
Abstract
Hydroelectric power is an important renewable resource of energy is an indispensable contributor to the countrywide power network. The hydroelectric plant is expected to supply power with the highest scale of quality and reliability. Sensitivity analysis is used to determine the impact on the outcomes due to the changes in the parameters and structural changes. This research work aims to evaluate the sensitivity of the hydroelectric system, taking the human failure into consideration using fuzzy analytic hierarchy process (AHP) approach. Six different failure rates are taken into consideration. The fuzzy approach incorporates all the vagueness and uncertainty existing in the power system due to different failure and repair rates. The main contribution of this research is to evaluate the performance of any hydroelectric power plant under the failure of its various components using fuzzy approach.Keywords
This publication has 19 references indexed in Scilit:
- A Fuzzy AHP Approach to Select Learning Management SystemInternational Journal of Computer Theory and Engineering, 2015
- Efficiency assessment of hydroelectric power plants in Canada: A multi criteria decision making approachEnergy Economics, 2014
- An evaluation of quality goals by using fuzzy AHP and fuzzy TOPSIS methodologyJournal of Intelligent & Fuzzy Systems, 2013
- Combining Fuzzy AHP and Association Rule to Evaluate the Activity Processes of E-learning SystemPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2012
- The Fuzzy Comprehensive Evaluation of Hydropower Plant Production and Operating Conditions Based on the BP Neural Network ImprovedApplied Mechanics and Materials, 2011
- Fuzzy analytic hierarchy process: A logarithmic fuzzy preference programming methodologyInternational Journal of Approximate Reasoning, 2011
- A performance evaluation model by integrating fuzzy AHP and fuzzy TOPSIS methodsExpert Systems with Applications, 2010
- A Fuzzy ANP Model for Evaluating E-Learning PlatformLecture Notes in Computer Science, 2010
- Fuzzy Multi-Criteria Decision MakingPublished by Springer Science and Business Media LLC ,2008
- Multi‐criteria supplier selection using fuzzy AHPLogistics Information Management, 2003