Description: 随着新的数学工具小波分析的实用化为基于NN负荷预测模型性能的改善提供了理论依据对于电力系统负荷非线性时间序列的辨识在预测方法研究中应给予重视在本文所用的基于小波原理和NN融合的预测原理是具有强的非线性时间序列的辩能力由研究和仿真表明它能有效提高预测的精度-with new mathematical tools wavelet analysis based on NN into practical load forecasting model to improve the performance of the rationale On the basis for the power system load nonlinear time series forecasting methods in literacy research should give importance to the use of paper Based on wavelet theory and NN fusion principle is the forecast of strong nonlinear time series by the dialectical capacity of research and simulation shows it can effectively improve the accuracy of forecasts Platform: |
Size: 92962 |
Author:bluebowl |
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Description: 短期负荷预测对电力系统的经济和安全运行有重要作用随着人工智能技术和高深数学理论的发展,为负荷预测研究开辟了新途径和新方法电力市场竞争机制引入对负荷预测提出新要求各种随机因素对负荷预测的影响尚未取得完善研究方法据此对负荷预测的研究一直是人们研究的热点本文是根据课题组研究工作在总结的基础上重点介绍模糊集理论数据挖掘小波分析混沌理论的负荷预测研究
关键词短期负荷预测智能技术模糊集理论数据挖掘小波分析混沌理论-short-term load forecasts on the power system to the economic and security operations with an important role in artificial intelligence technology and highly few Theories of development, load forecasting for the research opens up new ways and new methods of competition in the electricity market mechanisms to introduce new load forecasting with the various requirements Load factors for prediction of the impact has been no perfect method of load forecast accordingly research has been a hot research This is the point under discussion group study concluded on the basis of focus on the fuzzy set theory wavelet analysis data mining Jimmy Chaos On the load forecast studies Keywords short-term load forecasts intelligence technology fuzzy set theory wavelet analysis data mining Chaos Theory Platform: |
Size: 50921 |
Author:bluebowl |
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Description: 随着新的数学工具小波分析的实用化为基于NN负荷预测模型性能的改善提供了理论依据对于电力系统负荷非线性时间序列的辨识在预测方法研究中应给予重视在本文所用的基于小波原理和NN融合的预测原理是具有强的非线性时间序列的辩能力由研究和仿真表明它能有效提高预测的精度-with new mathematical tools wavelet analysis based on NN into practical load forecasting model to improve the performance of the rationale On the basis for the power system load nonlinear time series forecasting methods in literacy research should give importance to the use of paper Based on wavelet theory and NN fusion principle is the forecast of strong nonlinear time series by the dialectical capacity of research and simulation shows it can effectively improve the accuracy of forecasts Platform: |
Size: 93184 |
Author:bluebowl |
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Description: 本程序应用小波变换进行电力系统的在线监测。电力系统在线监测中的检测信号含有大量的背景噪声，不便于检测。应用小波变换解决这一问题。程序中应用db3小波对信号进行5层分解，并得出了各层的细节信号与逼近信号。-This procedure based on wavelet transform power-line monitoring system. Online monitoring of power system test signal contains a lot of background noise, not easy to detect. Application of wavelet transform to resolve this problem. Application procedures for db3 wavelet signal decomposition layer 5, and arrive at different levels of detail signal and approximation signal. Platform: |
Size: 1024 |
Author:李冰 |
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Description: 一种适用于电力系统谐波检测的类小波方法，比较实用，但对相位信息无效-A power system harmonics detection class wavelet method, more practical, but the phase information is not valid Platform: |
Size: 2048 |
Author:chen |
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Description: This paper is a brief introduction to discrete wavelet transform as digital signal-processing
technique and the application. The field of discrete wavelet transform (DWT) is an
amazingly recent one because itÌ s better than Fourier transform. This technique was used on
power system to partial discharge site location. Partial discharges are caused by various
defects such as voids, shield protrusions, contaminants, advanced stages of water tree, etc
and known the main cause of breakdown in insulation materials. Platform: |
Size: 162816 |
Author:made |
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Description: a transmission line fault location model which is based on an Elman recurrent network
(ERN) has been presented for balanced and unbalanced short circuit faults. All fault situations with
different inception times are implemented on a 380-kV prototype power system. Wavelet transform
(WT) is used for selecting distinctive features about the faulty signals. The system has the advantages of
utilizing single-end measurements, using both voltage and current signals. ERN is able to determine the
fault location occurred on transmission line rapidly and correctly as an important alternative to standard
feedforward back propagation networks (FFNs) and radial basis functions (RBFs) neural networks. Platform: |
Size: 761856 |
Author:charlie |
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Description: This paper proposes a fault location method employing wavelet fuzzy neural network to use post-fault transient and steady-state measurements.
When single line to ground fault (SLG) occurs in the distribution lines of an industrial system, the transient feature is distinct
and the high frequency components in the transients can be employed to reveal fault characteristics. In this paper, wavelet transform is
applied to extract fault characteristics from the fault signals. Fuzzy theory and neural network are employed to fuzzify the extracted
information. Wavelet is then integrated with fuzzy neural network to form the wavelet fuzzy neural network (WFNN). The WFNN
is most suitable for post-fault transient and steady-state signal analysis in industrial distribution power system. Analysis and simulation
results illustrate that the theory and algorithm of the WFNN proposed in this paper are efficient in fault location. The WFNN can be
widely applied in fault analysis of power system.-Application of wavelet fuzzy neural network in locating single line
to ground fault (SLG) in distribution lines Platform: |
Size: 227328 |
Author:charlie |
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Description: 随着新的数学工具小波分析的实用化为基于NN负荷预测模型性能的改善提供了理论依据对于电力系统负荷非线性时间序列的辨识在预测方法研究中应给予重视在本文所用的基于小波原理和NN融合的预测原理是具有强的非线性-With the new mathematical tools of wavelet analysis into practical load forecasting model based on the performance of NN provides a theoretical basis for the improvement of power system load for the identification of nonlinear time series forecasting methods in the study should be given attention in this article based on wavelet theory used and NN forecasts integration principle is a strong nonlinear Platform: |
Size: 1024 |
Author:牛逼 |
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Description: 本文提出了一种自动检测和电能质量扰动分类模糊专家系统。有关干扰的类型包括电压骤降，骤升，中断，切换瞬变，冲动，闪烁，谐波和缺口。据推测，在所分析的波形采样的形式提供。傅立叶变换和小波分析，利用独特的功能获得的波形一个模糊专家系统为主体的决定有关的干扰类型而设计的。仿真研究，验证了该方法的比较研究人工神经网络为基础的分类方法和该方法研究的准确性也报告，以显示该方法的优点-This paper presents a fuzzy-expert system for automated detection and classification of power quality disturbances. The types of concerned disturbances include voltage sags, swells, interruptions, switching transients, impulses, flickers, harmonics, and notches. It is assumed that the analyzed waveforms are available in sampled form. Fourier transform and wavelet analysis are utilized to obtain unique features for the waveforms A fuzzy-expert system is designed for making a decision regarding the type of the disturbance. Simulation studies are presented to verify the accuracy of the proposed approach Comparison studies between an Artificial Neural Network based classification technique and the proposed approach are also reported to show the advantages of the proposed approach. Platform: |
Size: 444416 |
Author:韩小峰 |
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Description: 小波神经网络的电力系统负荷预测 -Wavelet neural network load forecasting of power system wavelet neural network power system load forecasting Platform: |
Size: 1816576 |
Author:吕清洁 |
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Description: 基于小波神经网络的电力负荷预测程序，是师兄做毕业设计时候编写的 适用于电力系统及其自动化专业-Power load forecasting based on wavelet neural network program, written by the brothers to do a graduation project applies to Electric Power System and Automation Platform: |
Size: 3072 |
Author:程文玉 |
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Description: 基于小波包变换的电力系统谐波分析,对于从事该方面的研究很有帮助-Based on wavelet packet transform power system harmonic analysis, engaged in the research helpful Platform: |
Size: 720896 |
Author:萧勇 |
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Description: 讲述了小波分析在电力系统中的应运，包括故障检测，判别，选线等。-About wavelet analysis should be shipped in the power system, including fault detection, discrimination, election lines. Platform: |
Size: 4188160 |
Author:戴栩生 |
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Description: MATLAB雨燕程。电力系统电压骤降信号的小波分解结果-MATLAB Swift away. Power system voltage sag signal wavelet decomposition results Platform: |
Size: 1024 |
Author:happywolfling |
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Description: With the development of power systems and the
extensive application of nonlinear elements in the electricity
system, the problem of ferroresonance do harm to the network
and electricity facilities has become more prominent. Wavelet
analysis has good time-frequency localization characteristic, so it
is suitable for fault analysis of power system. This paper is base
on in the neutral point unearthed system, which is excited by
single phase grounding fault, take analysis of the value of neutral
point with the Daubechies wavelet analysis. Simulation results
show that with wavelet transforms the occurrence of Ferro
resonance time can be detected and the frequency resonance can
also be determined.
-With the development of power systems and the
extensive application of nonlinear elements in the electricity
system, the problem of ferroresonance do harm to the network
and electricity facilities has become more prominent. Wavelet
analysis has good time-frequency localization characteristic, so it
is suitable for fault analysis of power system. This paper is base
on in the neutral point unearthed system, which is excited by
single phase grounding fault, take analysis of the value of neutral
point with the Daubechies wavelet analysis. Simulation results
show that with wavelet transforms the occurrence of Ferro
resonance time can be detected and the frequency resonance can
also be determined.
Platform: |
Size: 270336 |
Author:吴丹 |
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Description: 通过实验表明小波包变换能精确地从谐波信号中分离出基波，并能根据需要分离出任意谐波信号，是一种很好的电力系统谐波分析工具。-Experiments show that wavelet packet transform can accurately isolated in harmonic signal wave, and can according to need to separate out any harmonic signals,It is a kind of very good power system harmonic analysis tools. Platform: |
Size: 223232 |
Author:shelly |
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Search - power system wavelet