电力市场拥堵管理中一种新的花卉授粉算法

S. Verma, V. Mukherjee
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引用次数: 10

摘要

在放松管制的环境下,输电拥塞问题已经严重威胁到电力系统的安全性和可靠性,并可能导致电价的意外上涨。提出了一种用于解除管制的电力市场拥塞管理问题的传粉算法。灵感来自大自然的FPA是基于开花植物授粉过程的特点。采用FPA的目的是通过对发电机实际输出功率的重新调度,有效地缓解输电线路的拥塞。在执行CM问题时,考虑了各种关键的安全约束,如线路传输限制和负载总线电压。在改进的IEEE 30总线和改进的IEEE 57总线电源系统上测试了FPA的性能,并将所得结果与最近文献中报道的PSO、SA和RSM方法的结果进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A novel flower pollination algorithm for congestion management in electricity market
Under deregulated environment, transmission congestion problem has evolved as a serious threat to power system security and reliability and may also lead to unanticipated hike in electricity pricing. This paper proposes flower pollination algorithm (FPA) for congestion management (CM) problem of deregulated electricity market. Nature-inspired FPA is based on the characteristics of pollination process of flowering plants. The aim of employing FPA is to effectively relieve congestion in the transmission line by means of rescheduling of real power output of the generators. Various key security constraints like line transfer limit and load bus voltages have been considered while executing the CM problem. The performance of FPA has been tested on modified IEEE 30-bus and modified IEEE 57-bus power systems and the result obtained are compared to those offered by PSO, SA and RSM methods reported in the recent literature.
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