چکیده
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In the restructured electricity markets, retailers purchase the required demand of its consumers from
different energy resources such as self-generating facilities, bilateral contracts and pool market. In this
process, the pool market price uncertainty modeling is important for obtaining the maximum profit.
Therefore, in this paper, a robust optimization approach is proposed to obtain the optimal bidding strategy of retailer, which should be submitted to pool market. By the proposed method, a collection of robust
mixed-integer linear programming problem (RMILP) is solved to build optimal bidding strategy for retailer. For pool market price uncertainty modeling, upper and lower limits of pool prices are considered
instead of the forecasted prices. The range of pool prices are sequentially partitioned into a successive
of nested subintervals, which permit formulating a collection of RMILP problems. The results of these
problems give sufficient data to obtain optimal bidding strategy for submit to pool market by retailer.
A detailed analysis is utilized to delineate the proposed method.
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