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径向基函数神经网络在电力系统恢复研究中的应用。

Radial basis function neural network application to power system restoration studies.

机构信息

Department of Electrical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran.

出版信息

Comput Intell Neurosci. 2012;2012:654895. doi: 10.1155/2012/654895. Epub 2012 Jun 26.

DOI:10.1155/2012/654895
PMID:22792093
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3389650/
Abstract

One of the most important issues in power system restoration is overvoltages caused by transformer switching. These overvoltages might damage some equipment and delay power system restoration. This paper presents a radial basis function neural network (RBFNN) to study transformer switching overvoltages. To achieve good generalization capability for developed RBFNN, equivalent parameters of the network are added to RBFNN inputs. The developed RBFNN is trained with the worst-case scenario of switching angle and remanent flux and tested for typical cases. The simulated results for a partial of 39-bus New England test system show that the proposed technique can estimate the peak values and duration of switching overvoltages with good accuracy.

摘要

电力系统恢复中最重要的问题之一是变压器开关操作引起的过电压。这些过电压可能会损坏一些设备并延迟电力系统恢复。本文提出了一种径向基函数神经网络（RBFNN）来研究变压器开关过电压。为了使开发的 RBFNN 具有良好的泛化能力，将网络的等效参数添加到 RBFNN 的输入中。开发的 RBFNN 是使用开关角度和剩磁的最坏情况场景进行训练的，并针对典型情况进行了测试。对 39 节点新英格兰测试系统的一部分进行的仿真结果表明，该技术可以很好地准确估计开关过电压的峰值和持续时间。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc2c/3389650/2c62bc7236c6/CIN2012-654895.014.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc2c/3389650/a89545f53ac8/CIN2012-654895.009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc2c/3389650/45ceb51e920a/CIN2012-654895.010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc2c/3389650/a3157a113586/CIN2012-654895.011.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc2c/3389650/f173e257609d/CIN2012-654895.013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc2c/3389650/2c62bc7236c6/CIN2012-654895.014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc2c/3389650/6fe75a61cf9a/CIN2012-654895.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc2c/3389650/26bcb2013396/CIN2012-654895.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc2c/3389650/a4d0eb1b34d1/CIN2012-654895.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc2c/3389650/3655caa09bc7/CIN2012-654895.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc2c/3389650/79c9e571b07e/CIN2012-654895.005.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc2c/3389650/80f8d9bf90c6/CIN2012-654895.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc2c/3389650/0f1b0125fb1e/CIN2012-654895.008.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc2c/3389650/2c62bc7236c6/CIN2012-654895.014.jpg

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