Ranjbar Soheil
Department of Electrical Engineering, Velayat University, Iranshahr 99111-31311, Iran; School of Electronic and Electrical Engineering, University of Leeds, Leeds LS2 9JT, United Kingdom.
ISA Trans. 2024 Oct;153:350-363. doi: 10.1016/j.isatra.2024.07.028. Epub 2024 Jul 26.
The paper proposes a WADC approach using CART technique to dampen inter-area oscillations (IAOs) in bulk power systems. In this case, PMU data are filtered to estimate inter-area dynamics in which using pade approximation, a pole-zero IAO compensation block is designed. An online random decrement technique is also developed to identify the coherent groups and damping ratios to activate the WADC for oscillation damping. An offline process is provided to identify 200 critical IAO contingencies and tunes WADC gains using PSO for training CARTs via a set of 200 input inter-area signals and assigning output controlling gains pre-trained data and evaluating the CART estimations through online operation. The WADC approach is validated for oscillation damping on a 39-bus system and a realistic 561-generator Iranian grid. Simulations show 98 % accuracy in achieving sufficient damping ratios (>0.6) across various operating conditions.
本文提出了一种使用CART技术的广域阻尼控制（WADC）方法，以抑制大型电力系统中的区域间振荡（IAO）。在这种情况下，对相量测量单元（PMU）数据进行滤波，以估计区域间动态特性，其中使用帕德近似设计了一个零极点IAO补偿模块。还开发了一种在线随机减量技术，以识别相干组和阻尼比，从而激活WADC进行振荡阻尼。提供了一个离线过程，以识别200个关键的IAO突发事件，并使用粒子群优化算法（PSO）调整WADC增益，以便通过一组200个输入区域间信号训练分类与回归树（CART），并分配输出控制增益预训练数据，以及通过在线运行评估CART估计。该WADC方法在一个39节点系统和一个实际的561台发电机的伊朗电网中进行了振荡阻尼验证。仿真结果表明，在各种运行条件下实现足够的阻尼比（>0.6）时，准确率达到98%。
