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مجله بین المللی برق و amp; سیستم های انرژی
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  • unit commitment solution using an optimized genetic system

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    • تاریخ ارائه: 1393/01/01
    • تاریخ انتشار در تی پی بین: 1393/01/01
    • تعداد بازدید: 601
    • تعداد پرسش و پاسخ ها: 0
    • شماره تماس دبیرخانه رویداد: -
     this paper presents an investigation into the application of an optimized genetic algorithm (ga) to solve the thermal unit commitment (uc) problem. a parallel structure was first developed to handle the infeasibility problem in a structured and improved ga which provides an effective search process and therefore greater economy. the proposed methodology resulted in a better performance with faster operation by using both computational methods and classification of unit characteristics. typical constraints such as system power balance, minimum up and down times, start-up and shut-down ramps, have also been considered. a number of important parameters (standard and new parameters) of the uc problem have been identified. the proposed method is implemented and tested using a c# program. the tests are carried out using two systems including 10 and 20 units during a scheduling period of 24 h. the results are finally compared with those obtained from genetic schemes in other similar investigations through which the effectiveness of the proposed scheme is affirmed.

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