An Operation Status Correlation Analysis Method of Integrated Electricity-Water System Based on Random Matrix Theory

Hong Tan, Luo Wang, Rong Dai, Xia Zhao
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Abstract

For the tightly coupled integrated electricity and water system (IEWS), model-driven methods are often based on a lot of assumptions. A data-driven method, as a novel alternative, is proposed to analyze the operation status correlation of the IEWS. First, based on the random matrix theory, the mean spectral radius and the maximum eigenvalue are used to analyze the correlation of status data and study the system status without a detailed physical model. Second, the augmented matrix method is used to analyze the correlation between the influencing factors and the system status. The effectiveness of the proposed method is verified by a test IEWS composed of the IEEE 33-bus system and a 27-node water distribution network (WDN).
基于随机矩阵理论的水电一体化系统运行状态关联分析方法
对于紧密耦合的水电集成系统(IEWS),模型驱动方法往往建立在大量假设的基础上。提出了一种新的数据驱动方法来分析IEWS的运行状态相关性。首先,基于随机矩阵理论,在没有详细物理模型的情况下,利用平均谱半径和最大特征值分析状态数据的相关性,研究系统状态。其次,利用增广矩阵法分析了影响因素与系统状态之间的相关性。通过一个由IEEE 33总线系统和一个27节点配水网络(WDN)组成的IEWS测试,验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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