Abstract

This study investigated the unit commitment (UC) programming in the presence of both wind energy and energy storage sources. Programming this problem provides an optimal timetable for generation unit commitment to maximize security and minimize costs, as well as meet the grid and unit constraints in a period, as a major research topic. Today, the relationship between energy storage units and the grid has received considerable attention of researchers and grid operators. As the flexible alternating current transmission system (FACTS) devices promote the security of transfer lines, the UC problem was solved in the presence of FACTS devices in this paper. The salient feature of the proposed model is the no requirement of predicting uncertain variables and parameters; instead, uncertain parameters were defined in a “certain interval”. Then, these intervals were sequentially divided into smaller intervals, so that a set of robust integer programming problems can be defined and solved more easily. Another feature of the robust optimization method is to obtain the possible and optimal solution for the worst-case scenario for uncertain parameters in the defined uncertainty interval. By solving the proposed model, sufficient information was created directly for forming the units’ hourly bidding curves. The proposed model was discussed in different scenarios and the results indicated its proper performance.

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