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Prediction and Control of Transient Instability Using Wide Area Phasor Measurements.

机译:使用广域相量测量来预测和控制暂态不稳定性。

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摘要

This thesis presents a novel technique for prediction of the transient stability status of a power system following a large disturbance such as a fault, and application of the technique for subsequent emergency control. The prediction is made based on the synchronously measured samples of the magnitudes of fundamental frequency voltage phasors at major generation/load centers. The voltage samples are taken immediately after a fault is cleared and used as inputs to a binary classifier based on support vector machines to identify the transient stability condition. The classifier is trained using examples of the post-fault recovery voltages (inputs) obtained through simulations and the corresponding stability status (output) determined using a power angle-based stability index. Studies with the New England 39-bus test system indicate that the proposed algorithm can correctly recognize when the power system is approaching transient instability. The proposed system is then applied to Venezuelan power system and Manitoba Hydro power grid to demonstrate the applicability for large practical power systems. Performance of the proposed transient stability prediction scheme under the presence of asymmetrical faults, voltage sensitive loads, unlearned network topologies and measurement noise was found to be satisfactory.;Once an impending transient instability situation has been detected, appropriate emergency control strategies are triggered to minimize the impact of this on the safe operation of the network and reduce the possibility of a blackout. This thesis examines two different emergency control schemes: a) A fuzzy logic based emergency load and generator shedding scheme and b) A high voltage direct current (HVdc) power order reduction scheme based on synchronized phasors measurements. These strategies were developed for two power systems with contrasting characteristics: one for the Venezuelan power system which is a conventional power system completely based on alternating current (AC) transmission, and the other for the Manitoba Hydro network which heavily depend on long HVdc transmission for power transfer. The proposed wide area control systems demonstrated good performance on the Venezuelan and Manitoba Hydro power grids.
机译:本文提出了一种预测大故障(例如故障)后电力系统暂态稳定状态的新技术,并将其应用到后续的应急控制中。该预测是根据主要发电/负荷中心的基频电压相量的幅度的同步测量样本进行的。清除故障后立即获取电压样本,并将其用作基于支持向量机的二进制分类器的输入,以识别瞬态稳定性条件。使用通过仿真获得的故障后恢复电压(输入)和使用基于功率角的稳定性指数确定的相应稳定性状态(输出)的示例来训练分类器。对新英格兰39总线测试系统的研究表明,所提出的算法可以正确识别电力系统何时接近瞬态不稳定。然后将拟议的系统应用于委内瑞拉电力系统和曼尼托巴水力发电网,以证明其在大型实际电力系统中的适用性。发现存在非对称故障,电压敏感负载,未学习的网络拓扑和测量噪声的情况下,所提出的暂态稳定预测方案的性能令人满意。;一旦检测到迫在眉睫的暂态不稳定情况,将触发适当的应急控制策略以最小化这对网络安全运行的影响,并减少了停电的可能性。本文研究了两种不同的应急控制方案:a)基于模糊逻辑的应急负载和发电机脱落方案,以及b)基于同步相量测量的高压直流(HVdc)功率降阶方案。这些策略是针对两种具有鲜明特征的电力系统开发的:一种是委内瑞拉电力系统,这是一种完全基于交流(AC)传输的常规电力系统,另一种是针对严重依赖长HVdc传输的曼尼托巴水电网络。动力传递。拟议的广域控制系统在委内瑞拉和曼尼托巴水力发电网上都表现出良好的性能。

著录项

  • 作者单位

    University of Manitoba (Canada).;

  • 授予单位 University of Manitoba (Canada).;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 174 p.
  • 总页数 174
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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