A new method, which integrates the virtue of the probability and mathematical statistics with that of the fuzzy mathematics for power quality assessment, is proposed in this paper. The index showing an aspect of power...
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A new method, which integrates the virtue of the probability and mathematical statistics with that of the fuzzy mathematics for power quality assessment, is proposed in this paper. The index showing an aspect of power quality is evaluated using probability and mathematical statistics respectively; the global unique index of these indexes can be obtained. The results obtained from each index unified are unified again using fuzzy synthetic appraisal in order to give an objective, overall and unique index of power quality. The special assessment method for voltage sag using the average sag energy index is also discussed. Finally, a transaction mode makes the maximum benefits for different unit commitment as objective function and takes the power quality into account is presented, and then power energy really becomes a commodity which would be evaluated a price according to power quality
Through the analysis on voltage source converter (VSC) equations in dq0 coordinate system, the state space equation of the generalized plant is gained. By use of H infin theory, constant DC voltage H infin controlle...
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Through the analysis on voltage source converter (VSC) equations in dq0 coordinate system, the state space equation of the generalized plant is gained. By use of H infin theory, constant DC voltage H infin controller and constant AC voltage controller are designed. On the basis of establishing MATLAB simulation model for transmitting power to passive network via VSC-HVDC system, the simulation of control modes, such as constant DC voltage control, constant AC voltage control and constant reactive power control, is conducted. Simulation results show that the proposed controller can meet the need of supplying power to passive network and the control modes are effective
Restoration of a power system after a complete blackout is a very important issue to the safety of the power system. Reasonable black start schemes arc necessary to restore the power system 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.
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.
Power quality becomes an emphasis of related researches. Based on the detailed study on QCC (Quality control Center) of the FRIENDS first advanced by Japanese scholars, the functions of QCC are expanded and Its basic ...
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Based on mathematical morphology and grille fractal, a novel approach on power quality disturbance detection and location is presented in this paper. At first a parallel composite morphological filter with multiple-st...
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Short-term load forecasting of power system 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.
This paper presents an integrated framework for the optimal management of electricity purchase allocation and risk for load service entities (LSEs). To the practice of China Power Markets, we propose the framework of ...
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