Interval analysis to address uncertainty in multicriteria energy market clearance

A serious problem in every complex decision making process is how to deal with uncertainty. In complex systems the uncertainty is usually addressed with the use of probabilistic models where information about the distribution of the uncertain parameters is available or derived. However, in many engineering problems such information is unknown. Evermore, quite often the decision is made once, rendering irrelevant the probabilistic framework. In this study a multicriteria methodology is used in order to model the clearance of the energy market. The proposed model deals with uncertainty as far as the desired energy policy and restrictions are concerned with use of interval analysis. This way, the robustness of the optimal solution for different energy policies, which is necessary in order to evaluate them, is studied, thus creating a decision support system for the market operator.