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

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.

Authors:

• M. Sedighizadeh
• A. Rezazadeh

Keywords:

• Decision Making
• Power Generation
• ElectricUtilities
• Resource Planning.

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.