Comparison of different MCDM techniques used to evaluate optimal generation

Energy demand as of now is increasing tremendously. Also importing electricity is expensive from load centers which are located far away. Electricity is generated using distributed generators locally and using this electricity is more economical as to solve the increasing energy demand to a certain extent. For a complete day different sources of generation like Combined Heat Power, wind and utility are considered for the study. The first method discussed in this paper is Simple Additive Weighting; second method is Weighted Product and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). These methods are applied to a set of generation data of a particular day to obtain the optimal generation. In order to verify the weights' assigned to different attributes the method used is Analytic Hierarchy Process (AHP). The obtained results by these multi-criteria decision making techniques applied to a set of data for a complete day helps in identifying the optimal generation.