基于 CART 的大容量电力系统跨区振荡阻尼控制器(由 WAMS 数据组成

IF 6.3 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Soheil Ranjbar
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引用次数: 0

摘要

本文提出了一种采用 CART 技术的 WADC 方法,用于抑制大容量电力系统中的区域间振荡(IAO)。在这种情况下,对 PMU 数据进行滤波,以估计区域间动态,并利用帕德近似法设计极点为零的 IAO 补偿块。此外,还开发了一种在线随机递减技术,用于识别相干组和阻尼比,以激活 WADC 进行振荡阻尼。通过一组 200 个输入区域间信号和分配输出控制增益预训练数据,并通过在线操作评估 CART 估计值,提供了一个离线流程来识别 200 个关键 IAO 突发事件,并使用 PSO 调整 WADC 增益。WADC 方法在 39 总线系统和现实的 561 发电机伊朗电网上进行了振荡阻尼验证。模拟结果表明,在各种运行条件下实现足够阻尼比(0.6)的准确率为 98%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CART-based wide-area damping controller for inter-area oscillations in bulk power system consisting of WAMS data

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.

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来源期刊
ISA transactions
ISA transactions 工程技术-工程:综合
CiteScore
11.70
自引率
12.30%
发文量
824
审稿时长
4.4 months
期刊介绍: ISA Transactions serves as a platform for showcasing advancements in measurement and automation, catering to both industrial practitioners and applied researchers. It covers a wide array of topics within measurement, including sensors, signal processing, data analysis, and fault detection, supported by techniques such as artificial intelligence and communication systems. Automation topics encompass control strategies, modelling, system reliability, and maintenance, alongside optimization and human-machine interaction. The journal targets research and development professionals in control systems, process instrumentation, and automation from academia and industry.
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