An application of multicriteria decision aid in switching state control of hybrid electric power generation network

Abstract This article presents the implementation of a multi-criteria decision support method in the management of multi-source switching systems. We implement the Analytic Hierarchy Process (AHP) in order to solve problems relating to multi-source switching systems. This method reduces undesired multiple switchings bothering the output signal and perceived as electrical perturbations for sensitive charges. The advantage of this approach is that it makes it possible to compare several criteria that are difficultly customisable, using a sole optimisation function. As solution to curb issues relating to the implementation of AHP in real time as descrribed in the literature, we propose an algorithm for aggregating criteria, sub-criteria and alternatives, of which the ultimate goal is to switch to the alternative source offering the best compromise amongst a variety of contradictory. To approve the proposed AHP method, we implement an expert source management system in a Labview environment, which reproduces the same switching conditions in real time.

[1]  István Krómer.  Developing a Fuzzy Analytic Hierarchy Process for Choosing the Energetically Optimal Solution at the Early Design Phase of a Building , 2015 .

[2]  Luciane Neves Canha,et al.  Multiple Criteria Analysis for Energy Storage Selection , 2011 .

[3]  Nitai Pal,et al.  Modeling of an intelligent battery controller for standalone solar-wind hybrid distributed generation system , 2020 .

[4]  S. Ebrahimnejad,et al.  A New Extended Analytical Hierarchy Process Technique with Incomplete Interval-valued Information for Risk Assessment in IT Outsourcing , 2017 .

[5]  Antoine Vianou,et al.  Optimisation multicritère en conception de système photovoltaïque pour des maisons individuelles en contexte africain , 2013 .

[6]  Slobodan Zecevic,et al.  Intermodal Terminal Handling Equipment Selection Using a Fuzzy Multi-criteria Decision-making Model , 2019, PROMET - Traffic&Transportation.

[7]  S. Mena.  Introduction aux méthodes multicritères d’aide à la décision , 2000 .

[8]  Satit Yodmun,et al.  Stock Selection into Portfolio by Fuzzy Quantitative Analysis and Fuzzy Multicriteria Decision Making , 2016, Adv. Oper. Res..

[9]  Aleksandar Janjic,et al.  Renewable energy integration in smart grids-multicriteria assessment using the fuzzy analytical hierarchy process , 2015 .

[10]  T. Saaty.  How to Make a Decision: The Analytic Hierarchy Process , 1990 .

[11]  Asadullah Shah,et al.  Evaluating critical success factors in implementing E-learning system using multi-criteria decision-making , 2020, PloS one.

[12]  Oliver Meixner,et al.  FUZZY AHP GROUP DECISION ANALYSIS AND ITS APPLICATION FOR THE EVALUATION OF ENERGY SOURCES , 2009 .

[13]  Ahmed E.M. Al-Juaidi.  Decision support system with multi-criteria, stability, and uncertainty analyses for resolving the municipal infrastructure conflict in the City of Jeddah , 2017 .

[14]  Francis Allard,et al.  Elaboration d'une méthodologie d'aménagement durable d'un quartier , 2004 .

[15]  Sandeep Grover,et al.  Application of preference selection index method for decision making over the design stage of production system life cycle , 2015 .

[16]  M. Shojaeefard,et al.  Experimental and Numerical Flow Investigation of Intake Manifold and Multi Criteria Decision Making on 3-cylinder SI Engine using Technique for Order of Preference by Similarity to Ideal Solution , 2015 .