• a novel differential evolution application to short-term electrical power generation scheduling

    جزئیات بیشتر مقاله
    • تاریخ ارائه: 1393/01/01
    • تاریخ انتشار در تی پی بین: 1393/01/01
    • تعداد بازدید: 504
    • تعداد پرسش و پاسخ ها: 0
    • شماره تماس دبیرخانه رویداد: -
     this paper proposes a new way of applying a differential evolution algorithm to short-term electrical power generation scheduling. traditionally, the problem is divided into two subproblems. an evolutionary algorithm, which works with binary decision variables, is applied to the first subproblem to find a low cost scheduling of power generators, satisfying some operational constraints. then, the lambda-iteration method, is used to calculate the power generated by the online generators. in this study, the problem is treated as a whole for the first time in literature and an application of a real-valued differential evolution algorithm is proposed. this approach eliminates the use of an iterative local search technique such as lambda-iteration in all solution evaluations. through comparisons with results from literature, it is shown that the proposed method achieves a similar solution quality to existing methods, without needing the time consuming lambda-iteration step. finally, the new approach is applied to real-world data from the turkish interconnected power network.

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