Wind speed simulation in wind farms for steady-state security assessment of electrical power systems

1999 ◽  
Vol 14 (4) ◽  
pp. 1582-1588 ◽  
Author(s):  
A.E. Feijoo ◽  
J. Cidras ◽  
J.L.G. Dornelas
2021 ◽  
Vol 11 (8) ◽  
pp. 3355
Author(s):  
Moisés Cordeiro-Costas ◽  
Daniel Villanueva ◽  
Andrés E. Feijóo-Lorenzo ◽  
Javier Martínez-Torres

Nowadays, there is a growing trend to incorporate renewables in electrical power systems and, in particular, wind energy, which has become an important primary source in the electricity mix of many countries, where wind farms have been proliferating in recent years. This circumstance makes it particularly interesting to understand wind behavior because generated power depends on it. In this paper, a method is proposed to synthetically generate sequences of wind speed values satisfying two important constraints. The first consists of fitting the given statistical distributions, as the generally accepted fact is assumed that the measured wind speed in a location follows a certain distribution. The second consists of imposing spatial and temporal correlations among the simulated wind speed sequences. The method was successfully checked under different scenarios, depending on variables, such as the number of locations, the duration of the data collection period or the size of the simulated series, and the results were of high accuracy.


2005 ◽  
Vol 15 (2) ◽  
pp. 1923-1926 ◽  
Author(s):  
Y. Min ◽  
Z. Lin ◽  
J. Qiao ◽  
X. Jiang

Author(s):  
Fredy Estuardo Tamayo Guzmán ◽  
Carlos Andrés Barrera-Singaña

Electrical power systems are exposed to several events that can cause unstable operation scenarios. This is due to improper operation of certain components. If an event occurs, the system must be designed to overcome that contingency, thus remaining in a permanent condition that must be evaluated in order to monitor and prevent a possible collapse of the system. An evaluation of steady state stability is proposed at this work based on the capacity curves of generators, transformers and transmission lines. These remarked curves provide information on the operation point of these elements, thus allowing the application of remedial actions. PowerFactory and Matlab are used to carry out the tool for monitoring the operation points after a contingency. The effectiveness of the developed tool is validated at the IEEE 39-bus power system model, where results shows that the functionalaty for different contingencies based on the operating conditions when the components of the power system are varied, cosnquently, the tool identifies cases that require actions at the operational level.


Energies ◽  
2020 ◽  
Vol 13 (18) ◽  
pp. 4826
Author(s):  
Steffen Meinecke ◽  
Leon Thurner ◽  
Martin Braun

Publicly available grid datasets with electric steady-state equivalent circuit models are crucial for the development and comparison of a variety of power system simulation tools and algorithms. Such algorithms are essential to analyze and improve the integration of distributed energy resources (DERs) in electrical power systems. Increased penetration of DERs, new technologies, and changing regulatory frameworks require the continuous development of the grid infrastructure. As a result, the number and versatility of grid datasets, which are required in power system research, increases. Furthermore, the used grids are created by different methods and intentions. This paper gives orientation within these developments: First, a concise overview of well-known, publicly available grid datasets is provided. Second, background information on the compilation of the grid datasets, including different methods, intentions and data origins, is reviewed and characterized. Third, common terms to describe electric steady-state distribution grids, such as representative grid or benchmark grid, are assembled and reviewed. Recommendations for the use of these grid terms are made.


2012 ◽  
Vol 45 (21) ◽  
pp. 466-471 ◽  
Author(s):  
Atlas V. Ahmetzyanov ◽  
Alexey B. Iskakov ◽  
Alex A. Grigoryev ◽  
Alexander M. Matinyan ◽  
Igor B. Yadykin ◽  
...  

1994 ◽  
Vol 30 (2) ◽  
pp. 135-147 ◽  
Author(s):  
A.S. Farag ◽  
E.Z. Abdel-Aziz ◽  
T.C. Cheng ◽  
S.M. El-Sobki ◽  
M.A. El-Shibini

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