An Interval-Based Multi-Attribute Decision Making Approach for Electric Utility Resource Planning
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An Interval-Based Multi-Attribute Decision Making Approach for Electric Utility Resource Planning

Authors: M. Sedighizadeh, A. Rezazadeh

Abstract:

This paper presents an interval-based multi-attribute decision making (MADM) approach in support of the decision process with imprecise information. The proposed decision methodology is based on the model of linear additive utility function but extends the problem formulation with the measure of composite utility variance. A sample study concerning with the evaluation of electric generation expansion strategies is provided showing how the imprecise data may affect the choice toward the best solution and how a set of alternatives, acceptable to the decision maker (DM), may be identified with certain confidence.

Keywords: Decision Making, Power Generation, ElectricUtilities, Resource Planning.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1333586

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References:


[1] B.F. Hobbs and P.M. Meier, "Multicriteria Method for Resource Planning: An Experimental Comparison", IEEE Trans. on Power Systems, 9 (4) (1994), pp. 1811-1817.
[2] E.O. Lo, R. Campo and F. Ma, "Decision Framework for New Technologies: A Tool for Strategic Planning of Electric Utilities," IEEE Trans. on Power Systems, 2 (4) (1987), pp.959-967.
[3] J. Kumar and G. Sheble, "A Decision Analysis Approach to the Transaction Selection Problem in a Competitive Electric Market," Electric Power System Research, 38(1997), pp.209-216.
[4] J. Pan and S. Rahman, "Multiattribute Utility Analysis with Imprecise Information: An Enhanced Decision Support Technique for the Evaluation of Electric Generation Expansion Strategies," Electric Power Systems Research, 46 (1998), pp. 101-109.
[5] K. Staschus et al., "A Multi-Attribute Evaluation Framework for Electric Resource Acquisition in California", Electrical Power & Energy System, 13 (2) (1991), pp. 73-80.
[6] R.L. Keeney and H. Raiffa, Decisions with Multiple Objectives: Preferences and Value Tradeoffs, John Wiley and Sons, New York (1995).
[7] F. Szidarovsky, M.E. Gershon and L. Duckstein, Techniques for Multi objective Decision Making in Systems Management, Elsevier, Amsterdam, 1986.
[8] L.G. Vergas, "Utility Theory and Reciprocal Pair wise Comparisons: The Eigenvector Method," Socio-Economic Planning Science, 20 (6) (1986), pp387-391.
[9] R. D. Kamenetzky, "The Relationship between the Analytic Hierarchy Process and the Additive Value Function," Decision Sciences, 13 (4) (1982), pp. 702-713.
[10] B.F. Hobbs and G.T. Horn, "Building Public Confidence in Energy Planning: A Multi method MCDM Approach to Demand-Side Planning at BC Gas", Energy Policy, 25 (3) (1997), pp.357-375.