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CONGESTION MANAGEMENT IN DEREGULATION BY GENERATION RESCHEDULING AND LOAD SHEDDING USING EVOLUTIONARY PROGRAMMING BASED OPF

机译:使用基于进化规划的OPF的发电调度和负荷分担来解除管制中的拥塞管理

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Congestion management is one of the most important issues for secure and reliable system operations in deregulated electricity market. In this paper, an efficient method is proposed for transmission line over load alleviation in deregulated power system using generation rescheduling and load shedding. The proposed method is illustrated using IEEE 300 bus system and the impacts of considering different parameters such as generation rescheduling and load shedding are studied. In this paper an attempt is made to explore the use of generation rescheduling and load shedding for relieving congestion by Evolutionary Programming compared with Improved Quadratic interior point (IQIP) method based an Optimal Power Flow (OPF). The effectiveness of the proposed algorithm has been analyzed on IEEE 300 bus system.
机译:在解除管制的电力市场中,拥塞管理是确保系统安全可靠运行的最重要问题之一。本文提出了一种有效的方法,该方法利用发电重新调度和减载来缓解管制系统中输电线路的超载现象。利用IEEE 300总线系统对提出的方法进行了说明,并研究了考虑不同参数(如发电调度和减载)的影响。与基于最优潮流(OPF)的改进二次内点法(IQIP)相比较,本文尝试探索利用发电重新调度和减载来通过进化规划来缓解拥塞。该算法的有效性已经在IEEE 300总线系统上进行了分析。

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