Primary ionization and energy loss calculation for helium, neon, argon and krypton

1999 ◽  
Vol 435 (3) ◽  
pp. 348-353 ◽  
Author(s):  
E Santovetti ◽  
L Cerrito
Keyword(s):  
Energy Loss ◽  
Loss Calculation ◽  
Helium Neon ◽  
Primary Ionization

Improved Newton's Method for Calculation of Power Distribution Network Theory Energy Loss

2013 ◽  
Vol 756-759 ◽  
pp. 2936-2939
Author(s):  
Xiao Ming Wang ◽  
Li Zhang
Keyword(s):  
Energy Loss ◽  
Network Theory ◽  
Power Distribution ◽  
Distribution Network ◽  
Current Transformer ◽  
Load Curve ◽  
Power Distribution Network ◽  
Loss Calculation ◽  
Transformer Substation ◽  
Network Power

At present commonly used distribution network loss calculation theory method, the not fully consider load curve changes. Thus, the theory energy loss too small, and the management energy loss too large. On this issue, the article puts forward an improved Newtons method for distribution network theory energy loss calculation. According to the current transformer substation of 24h a distribution network power records, the trend of the model results show that the total distribution network energy loss. The experimental results show that, compared with traditional methods, improved Newtons method to calculate the result more close to the energy loss calculation theory statistical energy loss.

Inelastic scattering of slow positrons by helium, neon, and argon atoms

1982 ◽  
Vol 60 (4) ◽  
pp. 584-590 ◽  
Author(s):  
P. G. Coleman ◽  
J. T. Hutton ◽  
D. R. Cook ◽  
C. A. Chandler
Keyword(s):  
Energy Loss ◽  
Inelastic Scattering ◽  
Multiple Scattering ◽  
Time Of Flight ◽  
Angular Distributions ◽  
Atomic Excitation ◽  
Helium Neon

Measurements of the excitation and ionization of helium, neon, and argon by positrons of energies between threshold and 50 eV, utilising time-of-flight energy loss spectrometry, are reported. Scattering into forward angles up to 60° is observed and the measurements suggest that sharp forward lobes exist in the angular distributions of positrons scattered following atomic excitation. Multiple scattering corrections to the measurements are described. Comparison is made with the inelastic scattering of electrons by the same atoms, and connections drawn between the present results and those of the recent complementary studies of Griffith et al. and Charlton et al.

scholarly journals An Improved Method of the Energy Loss Calculation Considering the Volatility of Wind Power Generation

2017 ◽  
Vol 09 (04) ◽  
pp. 281-291
Author(s):  
Bo Ruan ◽  
Tingting Hou ◽  
Yu Li ◽  
Zhen Mei ◽  
Jun Huang
Keyword(s):  
Power Generation ◽  
Energy Loss ◽  
Wind Power ◽  
Wind Power Generation ◽  
Improved Method ◽  
Loss Calculation

scholarly journals Energy Loss Calculation of Low Voltage Distribution Area Based on Variational Mode Decomposition and Least Squares Support Vector Machine

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Keyan Liu ◽  
Dongli Jia ◽  
Fengzhan Zhao ◽  
Qicheng Zhang ◽  
Shuai Hao ◽  
...  
Keyword(s):  
Energy Loss ◽  
Low Voltage ◽  
Calculation Model ◽  
Distribution Area ◽  
Support Vector ◽  
Energy Losses ◽  
Variational Mode Decomposition ◽  
Voltage Distribution ◽  
Loss Calculation ◽  
Mode Decomposition

In order to improve the accuracy of theoretical energy loss calculation in low voltage distribution area (LV-area), this paper proposes a new prediction method based on variational mode decomposition (VMD) and particle swarm optimization (PSO) least squares support vector machine (LSSVM). Firstly, the main influencing factors of energy loss calculation in LV-area are determined by the grey correlation method, which reflects the data-driven characteristic of the method and ensures the objectivity of the prediction results and the generalization of the calculation model. Secondly, the trend component and fluctuation component are obtained by VMD of daily energy loss series in the LV-area. The variable set of main influencing factors of energy losses is used as the input variable of LSSVM, and the VMD result of the energy loss sequence is used as the output. The theoretical energy loss training and calculation model of LV-area is established. Compared with the traditional calculation model, this model has more accurate calculation accuracy by taking into account the frequency characteristics of energy losses in different frequency bands. PSO is used to optimize the parameters of LSSVM for the purpose of improving the accuracy of LSSVM. Finally, an example of 252 LV-area in a city in northern China is given to verify the validity of the proposed method. The results indicate that the proposed method generates more accurate results.

scholarly journals An Energy Loss Calculating Method for Wind Power System Based on the Shape Factor

2018 ◽  
Vol 160 ◽  
pp. 03007
Author(s):  
Bo Ruan ◽  
Junjie Qian ◽  
Dahai You ◽  
Tingting Hou ◽  
Xi Chen ◽  
...  
Keyword(s):  
Power System ◽  
Energy Loss ◽  
Wind Power ◽  
Shape Factor ◽  
Power Loss ◽  
Large Scale ◽  
Calculating Method ◽  
Loss Calculation ◽  
New Energy ◽  
Wind Power System

The large-scale access of the new energy makes various changes to the power system characteristics. For example, the acute volatility of the new energy such as wind power and photovoltaic energy makes the power-loss-calculation for the system more complex. The traditional typical daily method is inaccurate when used in new energy system because of its overlook of the generator output volatility. This paper proposes a new power-loss-calculation method for wind power system which based on the shape factor and gain a more accurate result. On the basis of this new calculating method, finds that the shape factor of the wind power plant for an hour period usually falls in a certain range. Therefore, proposes to directly use the expectation of shape factor in whole year to compute the annual energy loss with at least two values and once power flow calculation. And the acceptable relative error proves its large engineering practicability.

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