Abstract
Abstract This article proposes a multiobjective methodology for the integrated resource planning (IRP) problem using a combined analytic hierarchy process (AHP)-compromise programming (CP) model. Six objectives, of which five are qualitative in nature, have been considered to select demand- and supply-side resources for meeting future electricity demand. The quantitative objective (viz., cost) is employed directly in the CP model. AHP priorities are derived for the qualitative objectives (e.g., technological maturity) after eliciting expert judgements. These priorities are employed as coefficients of the decision variables in the objective functions corresponding to the qualitative objectives of the model. The two distinct advantages of this method are (1) explicit consideration of all important qualitative and quantitative aspects of demand-side management (DSM) and supply-side options, and (2) consideration of specific characteristics of various types of DSM options. An illustrative application is provi...
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