This paper proposes simultaneous integration of DSM options in a multiobjective framework (using a compromise programming technique) for electric utility planning. The two distinct advantages of this method are: (i) explicit consideration of all associated benefits of DSM options viz. cost reduction, emissions reduction and improvement of supply system reliability; and (ii) consideration of the integration method's specific characteristics of various types of DSM options depending upon the control of the utility on their application. The methodology is applied to an Indian electric utility (Maharashtra State Electricity System (MSES)) for its integrated resource planning for the period 1990-2000 to illustrate the methodological issues. Various methodological issues related to the specific nature of DSM options and multiobjective framework are also discussed in the context of MSES.>
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Chattopadhyay et al. (1995) studied this question.
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