scholarly journals DG planning in stand-alone microgrid considering stochastic characteristic

2017 ◽  
Vol 2017 (13) ◽  
pp. 1181-1185 ◽  
Author(s):  
Wanliang Fang ◽  
Haoming Liu ◽  
Feng Chen ◽  
Hao Zheng ◽  
Guanghui Hua ◽  
...  
Author(s):  
S. Korniienko ◽  
I. Korniienko ◽  
D. Kamak ◽  
S. Kaznachey ◽  
O. Zhyrna

Today, the problem of reducing the cost of resources and time during planning and conducting tests remains relevant. This problem is especially acute in qualified testing agencies, where testing prototypes at different stages of the life cycle is the main functional task. Automation of planning processes and optimization of testing processes will significantly reduce such costs and improve the overall quality of testing. The article considers the theoretical issues of forming quantitative plans for testing samples of armaments and military equipment (AME) in obtaining zonal estimates of stochastic parameters and characteristics. The need for zonal estimates arises to confirm the quality of the sample for a given stochastic characteristic in the range from the allowable probabilistic value to the maximum (minimum) possible. The authors propose an approach to obtaining zonal estimates of the parameters of the armament and military equipment test sample, which theoretically meet the requirements of a given accuracy and reliability. The approach is based on the use of a flexible test plan, which is terminated when statistical confirmation of the probabilistic value not worse than specified by the developer is obtained. Ensuring the quality of evaluation is carried out by virtue of the minimum required number of repetitions of the experiment and the balance of the number of successful to the total number of experiments. It is shown that a flexible test plan can significantly reduce the total number of experiments, which will to some extent reduce the resource and time costs of testing samples of armament and military equipment. For the practical application of the approach of obtaining zonal estimates of the AME sample quality, its formalization and algorithmics is required. It is assumed that the developed approach will be implemented in the form of a functional module as а part of the subsystem of automated planning and quality management of AME sample tests.


2016 ◽  
Vol 36 (8) ◽  
pp. 0801001
Author(s):  
孙欢欢 Sun Huanhuan ◽  
倪长健 Ni Changjian ◽  
崔蕾 Cui Lei ◽  
王超 Wang Chao

2013 ◽  
Vol 2013 ◽  
pp. 1-9
Author(s):  
Ruixia Yan ◽  
Zhong Wu ◽  
Jinliang Liu

This paper investigates the filtering problem for a class of network-based systems with random network-induced delays. The considered random delay between the sensor and the filter is assumed to be satisfying a certain stochastic characteristic. Considering the probability of the delay taking value in different intervals, a stochastic variable satisfying Bernoulli random binary distribution is introduced and a new system model is established by employing the information of the probability distribution. By using a properly constructed Lyapunov function, sufficient conditions for the existence of theH∞filters are presented in terms of linear matrix inequalities, which are dependent on the occurrence probability of both the random communication delays. The filter parameter is then characterized by the solution to a set of LMIs. A simulation example is employed to show the effectiveness of the proposed method.


2011 ◽  
Vol 189-193 ◽  
pp. 1886-1891
Author(s):  
Peng Fei Xue ◽  
Da Ling Mao

A multi-factor diffusion model of chloride in concrete was formulated, in which the hypothesis of Fick’s Law were corrected through parameter definition. The values of the parameters in the model were given for practical applications according to pilot calculation and analysis of mass data. By using this diffusion model, three calculation methods of concrete structure service life were further deduced, it includes definite value method, probability performance based method and time-dependent reliability based method. The service life prediction for the approach bridge of Huang-pu Bridge was carried on by using various prediction approaches mentioned above. The results showed that: time-dependent reliability based method can consider randomness of chloride diffusion coefficient and the depth of concrete covering layer, and the stochastic characteristic of environment variable can be easily taken into account too. By adjusting the target reliability, the prediction results are consistent with those of the other two methods.


2014 ◽  
Vol 3 (2) ◽  
pp. 155 ◽  
Author(s):  
Amir Moghtadaei Rad

There are different attitude determination methods which have been used in satellite and spacecraft by star tracker. Each of these methods have its own advantages and disadvantages depending on their application, stochastic characteristic of noise on sensors (bias or noise), and weight of noise falling on different sensors. The present study has thus explored the major methods from two perspectives: the effect of input noise or bias on each star sensor and the corresponding weight of each noise or bias falling on each sensor. These aspects are compared in each method and the optimal method according to each condition is introduced. N Vector, Triad, Quest, Q method and least square method are the methods studied and simulated in this article. Finally, a comparison is made between the methods and the optimal method is introduced theoretically and practically. Keywords: Attitude Determination, Celestial Navigation, Triad, Quest, Least Square, Satellite.


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