A Toolbox for Analyzing and Testing Mode Identification Techniques and Network Equivalent Models
A Toolbox for Analyzing and Testing Mode Identification Techniques and Network Equivalent Models
复制标题
用于分析和测试模式识别技术和网络等效模型的工具箱
DOI：
10.3390/en12132606
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发表时间：
2019
期刊：
影响因子：
3.2
通讯作者：
G. Papagiannis
中科院分区：
文献类型：
--
作者：
E. Kontis;Georgios A. Barzegkar;Konstantinos A. Staios;T. Papadopoulos;G. Papagiannis
在过去的十年中，电力系统的动态特性已经发生了巨大的变化，由于新的非传统类型的负载的出现，以及分布式发电的日益渗透。为了分析电力系统动态特性并建立精确的模型，学术界和电力系统运营商通常采用基于测量的技术。在这方面，本文开发了一个识别工具箱，用于推导基于测量的等效模型和分析动态响应。该工具箱集成了八种最广泛使用的模式识别技术以及几种静态和动态网络等效模型。首先，模式识别技术的理论背景，以及所检查的等效模型的数学公式，并进行了分析。此外，多信号分析方法被纳入工具箱，以促进强大的等效模型的发展。此外，采用迭代过程来自动确定导出模型的最优阶。工具箱的能力证明使用模拟响应，从大型基准电力系统，以及使用在实验室规模的主动配电网记录的测量。
During the last decade the dynamic properties of power systems have been altered drastically, due to the emerge of new non-conventional types of loads as well as to the increasing penetration of distributed generation. To analyze the power system dynamics and develop accurate models, measurement-based techniques are usually employed by academia and power system operators. In this regard, in this paper an identification toolbox is developed for the derivation of measurement-based equivalent models and the analysis of dynamic responses. The toolbox incorporates eight of the most widely used mode identification techniques as well as several static and dynamic network equivalencing models. First, the theoretical background of the mode identification techniques as well as the mathematical formulation of the examined equivalent models is presented and analyzed. Additionally, multi-signal analysis methods are incorporated in the toolbox to facilitate the development of robust equivalent models. Additionally, an iterative procedure is adopted to automatically determine the optimal order of the derived models. The capabilities of the toolbox are demonstrated using simulation responses, acquired from large-scale benchmark power systems, as well as using measurements recorded at a laboratory-scale active distribution network.