The Reduced Order Small Signal Model of Large-scale Photovoltaic Plants and Distributed Cloud-computing Algorithm

被引：0
|
作者：
Liu Q. [1 ]
Xie D. [1 ]
Wang X. [1 ]
Gu C. [2 ]
机构：
[1] Shanghai JiaoTong University, Minhang District, Shanghai
[2] University of Bath, Bath
来源：
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2019年 / 39卷 / 24期
关键词：
Distributed cloud-computing; Eigenvalue analysis; Large-scale photovoltaic power plants; Reduced order; Small signal model;
D O I：
10.13334/j.0258-8013.pcsee.182574
中图分类号：
学科分类号：
摘要：
Nowadays, subsynchronous oscillation frequently occurs in large-scale grid-connected photovoltaic systems, modeling large-scale photovoltaic power generation system to study its operation characteristics has become a focus. Based on the detailed small signal model of photovoltaic units, the mathematical model of a large-scale photovoltaic power plant connected to grid via transmission line was presented in this paper, geographic distribution characteristics of PV plants and other important operational factors such as light intensity are took into account in the process of modeling. Because the problem of "dimension disaster" may occur in large-scale engineering models' calculation, the eigenvalue solution of the state matrix of large-scale systems was analyzed. The proposed reduced order and distributed cloud-computing algorithm achieves blocking of high-order matrices and reduced order of the determinant. The algorithm solves the computational limitation of large-scale simulation system. The accuracy of the proposed method was verified by comparing the calculated results before and after model transformation. Based on the reduced order and distributed cloud-computing algorithm, the oscillation modes of a large-scale photovoltaic power plant were studied. The effects of illumination intensity and equipment parameters on the oscillation modes of photovoltaic systems were discussed respectively. The simulation results prove the effectiveness of the algorithm. © 2019 Chin. Soc. for Elec. Eng.
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页码：7218 / 7231
页数：13
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