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This paper presents the application of Information Gap Decision Theory (IGDT) to help the Distribution Network Operators (DNOs) in choosing the supplying resources for meeting the demand of their customers. The three main energy resources are pool market, Distributed Generations (DGs) and the bilateral contracts. In deregulated environment, the DNO is faced with many uncertainties associated to the mentioned resources which may not have enough information about their nature and behaviors. In such cases, the classical methods like probabilistic methods or fuzzy methods are not applicable for uncertainty modeling because they need some information about the uncertainty behaviors like Probability Distribution Function (PDF) or their membership functions. In this paper, a decision making framework is proposed based on IGDT model to solve this problem. The uncertain parameters considered here, are as follows: price of electricity in pool market, demand of each bus and the decisions of DG investors. The robust strategy of DNO is determined to hedge him against the risk of increasing the total cost beyond what he is willing to pay. The effectiveness of the proposed tool is assessed and demonstrated by applying it on a test distribution network.

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Publication informationEnergy, 44 (1): 228-240Publisher Elsevier Item record/more information http://hdl.handle.net/10197/6166 Publisher's statementThis is the author's version of a work that was accepted for publication in Energy. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Energy (VOL 44, ISSUE 1, (2012)

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