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含 FACTS 装置的并网光伏系统的电压稳定性评估。

Voltage stability assessment of grid connected PV systems with FACTS devices.

机构信息

Department of Electrical and Computer Engineering, University of Duhok, Duhok, Kurdistan Region, Iraq.

University of Science and Culture, Tehran, Iran.

出版信息

Sci Rep. 2022 Dec 24;12(1):22279. doi: 10.1038/s41598-022-26751-5.

DOI:10.1038/s41598-022-26751-5
PMID:36566331
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9789984/
Abstract

Three static techniques (i.e. Power flow, Continuation Power Flow (CPF) and the Q-V curve) are used to assess the voltage stability of the power grid with a Solar Photovoltaic Generator (SPVG) and FACTS devices under nominal and heavy loading conditions. A static model is proposed for the power system that includes conventional power generation units and SPVGs with FACTS devices. Two models of SPVG were used (i.e., PV-model and PQ-model) to elucidate the effect of the SPVGs on the stability of the voltage under various operating conditions. The best location for FACTS devices was obtained under nominal and heavy load conditions using static techniques. A comparison between series and shunt FACTS devices under nominal and heavy loading conditions was carried out using the three static techniques. The interaction between SPVGs and FACTS devices was detailed in this paper. The proposed approach was tested on the New England 39-bus standard test system, and the results confirmed the effectiveness of the proposed approach under various operating conditions.

摘要

三种静态技术(即潮流、连续潮流(CPF)和 Q-V 曲线)用于评估在标称和重载条件下具有太阳能光伏发电机(SPVG)和 FACTS 装置的电网的电压稳定性。为包括常规发电单元和具有 FACTS 装置的 SPVGs 的电力系统提出了一个静态模型。使用了两种 SPVG 模型(即 PV 模型和 PQ 模型)来阐明在各种运行条件下 SPVGs 对电压稳定性的影响。在标称和重载条件下,使用静态技术获得了 FACTS 装置的最佳位置。使用三种静态技术在标称和重载条件下对串联和并联 FACTS 装置进行了比较。本文详细说明了 SPVGs 和 FACTS 装置之间的相互作用。该方法在新英格兰 39 母线标准测试系统上进行了测试,结果证实了该方法在各种运行条件下的有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f570/9789984/dfdda4e70282/41598_2022_26751_Fig10_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f570/9789984/dba77c34d2c7/41598_2022_26751_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f570/9789984/49892f39e884/41598_2022_26751_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f570/9789984/99ed48474860/41598_2022_26751_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f570/9789984/dfdda4e70282/41598_2022_26751_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f570/9789984/3036deae437d/41598_2022_26751_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f570/9789984/a0d7041a85bc/41598_2022_26751_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f570/9789984/f240eb11ce13/41598_2022_26751_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f570/9789984/603d92df9d5c/41598_2022_26751_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f570/9789984/3254b3202921/41598_2022_26751_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f570/9789984/9aa572eea5a5/41598_2022_26751_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f570/9789984/dba77c34d2c7/41598_2022_26751_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f570/9789984/49892f39e884/41598_2022_26751_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f570/9789984/99ed48474860/41598_2022_26751_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f570/9789984/dfdda4e70282/41598_2022_26751_Fig10_HTML.jpg

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