Prediction of electrical network parameters in the control of fictitious power

Author(s):  
M. Naude ◽  
J. Enslin
Author(s):  
Milton B. Do Coutto Filho ◽  
Julio C. Stacchini de Souza ◽  
Edwin B. M. Meza

1975 ◽  
Vol 298 (5-6) ◽  
pp. 423-432 ◽  
Author(s):  
Jack Wellin ◽  
Lawrence Eisenberg

2020 ◽  
Author(s):  
Alireza Bakhshinejad ◽  
Abdolreza Tavakoli ◽  
Maziar Mirhosseini Moghadam

Abstract Background: The usage of electric vehicles is daily increasing. It is predicted that the penetration of electric vehicles in the electrical network will grow steadily during the next few years. This growth of penetration causes major challenges for power system users, especially the distribution network. Firstly, increasing load consumption, especially during peak hours, and secondly, increasing the cost of developing a network to provide load, along with the operation moved away from the optimum point, are the major challenges of the penetration of electric vehicles. The aim of this study is to propose a solution not only to resolve these challenges but also to make an opportunity to improve the network parameters. Methods: The charging and discharging strategy along with two price-based and voltage-based load management programs are proposed to manage the penetration of electric vehicles for economic and technical purposes. The proposed plan is implemented by GAMS and MATLAB software on the distribution network. Results: The test network used in this study is the 37 buses low voltage network. The voltage of this network is 400V and its power reference is 100kVA. The upstream nominal capacity is 800 kVA. The allowed voltage range is also 0.9 pu to 1.05 pu. The network loads are indoor and equipped with electric vehicle parking. Conclusions: The results showed that by properly managing the penetration of electric vehicles along with responsive loads, not only were the network parameters not compromised and the penetration of all the vehicles was managed without the need for network development, but also by applying the proposed strategy, the network parameters were improved.


Author(s):  
Brenda R. Eisenberg ◽  
Lee D. Peachey

Analysis of the electrical properties of the t-system requires knowledge of the geometry of the t-system network. It is now possible to determine the network parameters experimentally by use of high voltage electron microscopy. The t-system was marked with exogenous peroxidase. Conventional methods of electron microscopy were used to fix and embed the sartorius muscle from four frogs. Transverse slices 0.5-1.0 μm thick were viewed at an accelerating voltage of 1000 kV using the JEM-1000 high voltage electron microscope at Boulder, Colorado and prints at x5000 were used for analysis.The length of a t-branch (t) from node to node (Fig. 1a) was measured with a magnifier; at least 150 t-branches around 30 myofibrils were measured from each frog. The mean length of t is 0.90 ± 0.11 μm and the number of branches per myofibril is 5.4 ± 0.2 (mean ± SD, n = 4 frogs).


2019 ◽  
Vol 35 (3) ◽  
pp. 371-391
Author(s):  
AKANSHA DIXIT ◽  
◽  
DIBYENDU S. BAG ◽  
DHIRENDRA KUMAR SHARMA ◽  
HARJEET SINGH ◽  
...  

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