The reflection and refraction of fault-generated wave on EHV lines were investigated and the equations of transient current detected by relay were deduced. Theoretical analysis shows that the protection based on the e...
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The reflection and refraction of fault-generated wave on EHV lines were investigated and the equations of transient current detected by relay were deduced. Theoretical analysis shows that the protection based on the energy ratio of higher frequency components is more adaptive to various faults and can distinguish between the internal and external faults near the remote busbar more effectively. Such protection also has similar performance when used on EHV lines and series compensated EHV lines. The wavelet packet transform technique was employed to determine the energy ratio. Simulation results show that the proposed conclusions are correct.
A method of powersystem cascading outages assessment based on support vector machine (SVM) was provided in this paper. Taking full advantages of the ability of SVM to solve the problem with small sample, nonlinear an...
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A method of powersystem cascading outages assessment based on support vector machine (SVM) was provided in this paper. Taking full advantages of the ability of SVM to solve the problem with small sample, nonlinear and high dimension, this method constructs an assessment mode which uses resampling classification technique based on boosting method, pretreatment technique based on distance criterion and information fusion technique. This mode can help to improve the precision and stability of assessment, hence better generalization ability of assessment is guaranteed. At the end of this paper, an example is provided to demonstrate the validity of the proposed approach.
Attributes are require to be discrete when using data mining methods to establish forecasting model, for example, rough set, ANN and decision tree. But most discrete methods used before can't consider the relation...
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Attributes are require to be discrete when using data mining methods to establish forecasting model, for example, rough set, ANN and decision tree. But most discrete methods used before can't consider the relationship of conditional and decision attributes well, so the discrete results are not very satisfaction. This paper presents a new discrete method which combines clusters and entropy. First, cluster is adopted to get the waiting breakpoints. Then finally results are decided by their rate of entropy. According to clustering, the boundary value is greatly reduced. Meanwhile, through entropy which considers the condition attributes and decision attributes, attributes can be discreted more exactly. At last, the discrete results compared with the method based on the importance of breakpoints show that the proposed method assurance the quality of classing. The space of sample can be compressed effectively, which lightens the training load of model and the gotten rules are with good adaptability and useful value. The correctness and effectiveness are validated by the practical application and the accuracy of forecasting will be increased.
Restoration of a powersystem after a complete blackout is a very important issue to the safety of the powersystem. Reasonable black start schemes arc necessary to restore the powersystem as soon as possible. Based ...
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In electricity market, it is widely accepted that short-term load forecast is a key problem of market operation. In this paper, a novel model for load forecasting based on Intelligence Information Processing is presen...
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ISBN:
(纸本)9810544693
In electricity market, it is widely accepted that short-term load forecast is a key problem of market operation. In this paper, a novel model for load forecasting based on Intelligence Information Processing is presented. Here, we make full use of the excellent property reconstruction ability of independent component analysis, which is a new intelligence information processing technology for separating signals and making them independent mutually, and presents STLF model based independent property reconstruction. The load properties of different kinds are restructured to enhance its representation ability and simplifying STLF modeling by ANN. After neural network is trained by new properties with lower dimension, STLF model is built. Finally, the real load data of spot market in New England is applied to demonstrate the validity of the proposed approach.
The parabolic nonuniform line can be equivalent to the representation of a uniform line and a cascade connection of lumped element sections via Kuroda's Identities. Based on this equivalent circuit, a method in s-...
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This paper presents a new method of frequency-domain sensitivity analysis for parabolic lossless nonuniform transmission line. The frequency-domain sensitivity formulas are expressed by the line port voltages and curr...
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Since electricity market came into being, it has been generalized in many countries. In the research field of electricity market, electricity price has been one of the focused problems, which has great influence on th...
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ISBN:
(纸本)9810544693
Since electricity market came into being, it has been generalized in many countries. In the research field of electricity market, electricity price has been one of the focused problems, which has great influence on the market. And then electricity price forecasting as a basic information tool to analyze the near future market, becomes more important than before. However, in such a competitive environment, the changes of electricity price are so volatile, even price spikes happened. So electricity price forecasting becomes more difficult. To solve above problem, we build a novel model to forecast electricity price based on GARCH (that is generalized autoregressive conditional heteroskedasticity), which fits for volatility modeling. First, electricity price is regarded as finance time series and analyze its volatility, which explains the presence of heteroskedasticity. Then price forecasting is proposed with GARCH model, which aims at modeling the dynamic character of price. Case studies testify the validity of the proposed model.
Short-term load forecasting of powersystem is not only the basis of scheduling of generating sets, but also the basis of working out the transaction schedule in electricity market. This paper proposes a short-term lo...
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A new ultra high-speed protection scheme is proposed in this paper. Using wavelet transform with multiresolution analysis, the current signals is decomposed into a series of detailed wavelet components. The spectral e...
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ISBN:
(纸本)9810544693
A new ultra high-speed protection scheme is proposed in this paper. Using wavelet transform with multiresolution analysis, the current signals is decomposed into a series of detailed wavelet components. The spectral energies of the wavelet components are calculated and then employed to detect the faults. Characteristics of the proposed ultra high-speed protection algorithm are analyzed and results of simulation studies are given. The results show that the proposed algorithm is promising and easy to implement for computer relaying application.
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