基于人工蜂群算法的风力发电场拥塞调度

S. Deb, Sadhan Gope, A. Goswami
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引用次数: 12

摘要

在放松管制的环境下,电力系统拥塞是独立系统运营商(ISO)面临的主要问题,因为它违反了系统的安全性和成本。因此,保持电力系统无拥塞是ISO的一项重要任务。本文采用了将风电场纳入系统的发电机重调度技术。目前的工作是三折的。首先根据输电分配系数(PTDF)选择风电场的选址。其次,确定发电机敏感系数(GSF)以减少参与拥塞管理的发电机数量。再次,采用人工蜂群优化技术对选定的发电机组进行重新调度,以缓解输电拥塞。该方法在ieee39总线新英格兰测试系统中得到了应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Generator rescheduling for congestion management with incorporation of wind farm using Artificial Bee Colony algorithm
Power system congestion is a major problem for independent system operator (ISO) in a deregulated environment as it violates system security and cost. So it is an important task for ISO to maintain congestion free power system. In this paper generator rescheduling technique has been adopted with incorporation of wind farm in the system. Present work is three folded. Firstly location of wind farm is selected based upon power transfer distribution factor (PTDF). Secondly generator sensitivity factor (GSF) has been determined to reduce number of participating generator in congestion management. Thirdly selected generators have been rescheduled using Artificial Bee Colony (ABC) optimization techniques to mitigate transmission congestion. The proposed method is applied on IEEE 39 bus New England test system.
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