Incidence on Power System Dynamics of High Penetration of Fixed Speed and Doubly Fed Wind Energy Systems: Study of the Spanish Case

2002 ◽  
Vol 22 (9) ◽  
pp. 59-59
Author(s):  
Juan, M. Rodriguez ◽  
Jose, L. Fernandez ◽  
Domingo Beato ◽  
Ramon Iturbe ◽  
Julio Usaola ◽  
...  

For the wind energy systems the wind generators the most significant device for achieving better energy efficiencies. So in the case of wind generators, different generators are used for different conditions. In this paper we proposed to analyze the performance analysis of the Brushless Doubly-Fed Reluctance Generator (BDFRG). The BDFRG methods simulated in MATLAB/Simulink software. The proposed model is analyzed with different parameters like THD, ISE, IE, and ITE. The results of the parameters are combined with the other conventional generators like DFIG and BDFIG for result validation. The BDFRG achieved better results in all the parameters than the other conventional generators.


2018 ◽  
Vol 7 (4.24) ◽  
pp. 115
Author(s):  
P. Pothuraju ◽  
M. Venkatesan

Now a days electrical energy is essential to social development and for the economic growth of any country. Majorly the world facing the power generation problem.  The fossil fuel sourcesare limited and needed to use properly. This huge power generation increases the green house effect.  Hence to overcome  this effect, prefer combined operation of Solar Photovoltaic (SPV)  and Wind power generation systems. Due to high penetration of  SPV  and wind systems in presen tenergy schememighteffectand form many practical issuesparticularly to individual systems and weak grids, with lack of control and ample loading capability. Hence,incorporating both SPV and wind energy systems to form an optimal arrangement, the effect offlexible nature of wind as well as solar energy can partlydeterminedbesides the whole arrangementsuits more efficient and reliable to operation.This paper presents the exploration on control schemes  of combined SPV and wind driveincorporationarrangements. Energy, incidence oscillations and harmonics are significant power quality disputes for grid mode as well as standalone arrangements having hugeeffect in weak networks. Thus can be determined to a hugelevel by having suitable arrangement, innovative reaction techniques with energy storage arrangement and good optimization of both grid onnected and standalone ,hybrid SPV and wind energy systems.


Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4581
Author(s):  
Yuko Hirase ◽  
Yuki Ohara ◽  
Naoya Matsuura ◽  
Takeaki Yamazaki

In the field of microgrids (MGs), steady-state power imbalances and frequency/voltage fluctuations in the transient state have been gaining prominence owing to the advancing distributed energy resources (DERs) connected to MGs via grid-connected inverters. Because a stable, safe power supply and demand must be maintained, accurate analyses of power system dynamics are crucial. However, the natural frequency components present in the dynamics make analyses complex. The nonlinearity and confidentiality of grid-connected inverters also hinder controllability. The MG considered in this study consisted of a synchronous generator (the main power source) and multiple grid-connected inverters with storage batteries and virtual synchronous generator (VSG) control. Although smart inverter controls such as VSG contribute to system stabilization, they induce system nonlinearity. Therefore, Koopman mode decomposition (KMD) was utilized in this study for consideration as a future method of data-driven analysis of the measured frequencies and voltages, and a frequency response analysis of the power system dynamics was performed. The Koopman operator is a linear operator on an infinite dimensional space, whereas the original dynamics is a nonlinear map on a finite state space. In other words, the proposed method can precisely analyze all the dynamics of the power system, which involve the complex nonlinearities caused by VSGs.


Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2471
Author(s):  
Tommaso Bradde ◽  
Samuel Chevalier ◽  
Marco De Stefano ◽  
Stefano Grivet-Talocia ◽  
Luca Daniel

This paper develops a predictive modeling algorithm, denoted as Real-Time Vector Fitting (RTVF), which is capable of approximating the real-time linearized dynamics of multi-input multi-output (MIMO) dynamical systems via rational transfer function matrices. Based on a generalization of the well-known Time-Domain Vector Fitting (TDVF) algorithm, RTVF is suitable for online modeling of dynamical systems which experience both initial-state decay contributions in the measured output signals and concurrently active input signals. These adaptations were specifically contrived to meet the needs currently present in the electrical power systems community, where real-time modeling of low frequency power system dynamics is becoming an increasingly coveted tool by power system operators. After introducing and validating the RTVF scheme on synthetic test cases, this paper presents a series of numerical tests on high-order closed-loop generator systems in the IEEE 39-bus test system.


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