GENERATION CAPACITY BIDDING UNDER FUZZY ENVIRONMENT

Abstract

Due to regulatory change in power demand at each hour, it becomes an important and highly complex to aid capacity of private or foreign producers. This thesis report_ has proposed a software tool to support the planning body under utility in selection of bids. This thesis discusses the use of mathematical model to aid the decision-makers to select generation capacity bids. A. three stage mathematical scheme has been developed and in the first stage, Analytic Hierarchy Process (AHP) that converts linguistic qualitative informations into quantitative informations and scores the bids under fuzzy environment. Such type of informations to the planning body depends upon the desirability of the utility. Second stage, unit commitment using dynamic programming has been proposed to find the status of the generating units that are eligible for bidding_ Last stage, Hurwitz criteria for decision making combines both the solutions obtained from first and second stages to evaluate accurately the composite priority ordering among the specific projects. This composite priority ordering of the bids makes the planning body efficient, reliable, easy and economical in selection of the bids in complex electric marketplace. In the proposed model, multiple objective frameworks to capture both quantitative as well as qualitative informations (through expert's judgements) have been employed in the selection of bids for better results