Mitigation of SSCI in the DFIG Based Large Scale Wind Power System with Optimized Multimode Damping Controller

2021 ◽  
Author(s):  
Xinyu Wang ◽  
Jingyuan Liu ◽  
Pengwei Yang ◽  
Zheng Ren ◽  
Bowen Zheng ◽  
...  
2009 ◽  
Vol 24 (3) ◽  
pp. 650-660 ◽  
Author(s):  
Y. Mishra ◽  
S. Mishra ◽  
M. Tripathy ◽  
N. Senroy ◽  
Z.Y. Dong

2011 ◽  
Vol 187 ◽  
pp. 97-102 ◽  
Author(s):  
Liang Liang ◽  
Jian Lin Li ◽  
Dong Hui

Recently, more and more people realize the importance of environment protection. Electric power generation systems using renewable energy sources have an advantage of no greenhouse effect gas emission. Among all the choices, wind power can offer an economic and environmentally friendly alternative to conventional methods of power supply. As a result, wind energy generation, utilization and its grid penetration in electrical grid is increasing world wide. The wind generated power is always fluctuating due to its time varying nature and causing stability problem. Inserting energy storage system into large scale wind farm to eliminate the fluctuation becomes a solution for developing large scale renewable energy system connected with grid. The topology diagram and control strategy are presented in this paper. According to the simulation result, it could be indicated that embedding energy storage system into wind power system could improve the access friendly and extend system functions. This paper shows that integrating energy storage system into wind power system will build a more reliable and flexible system for power grid.


2020 ◽  
Vol 2020 ◽  
pp. 1-17
Author(s):  
Han Wang ◽  
Shuang Han ◽  
Yongqian Liu ◽  
Aimei Lin

The wind speed sequences at different spatial positions have a certain spatiotemporal coupling relationship. It is of great significance to analyze the clustering effect of the wind farm(s) and reduce the adverse impact of large-scale wind power integration if we can grasp this relationship at multiple scales. At present, the physical method cannot optimize the time-shifting characteristics in real time, and the research scope is concentrated on the wind farm. The statistical method cannot quantitatively describe the temporal relationship and the speed variation among wind speed sequences at different spatial positions. To solve the above problems, a quantification method of wind speed time-shifting characteristics based on wind process is proposed in this paper. Two evaluation indexes, the delay time and the decay speed, are presented to quantify the time-shifting characteristics. The effectiveness of the proposed method is verified from the perspective of the correlation between wind speed sequences. The time-shifting characteristics of wind speed sequences under the wind farms scale and the wind turbines scale are studied, respectively. The results show that the proposed evaluation method can effectively achieve the quantitative analysis of time-shifting and could improve the results continuously according to the actual wind conditions. Besides, it is suitable for any spatial scale. The calculation results can be directly applied to the wind power system to help obtain the more accurate output of the wind farm.


2007 ◽  
Vol 2007 (0) ◽  
pp. 231-232
Author(s):  
Terumi INAGAKI ◽  
Kiichiro KOSONO ◽  
NUR AKMAL BINTI HANIFFAH

2020 ◽  
Author(s):  
Man-Il Kim ◽  
Jaehwan Kwak ◽  
Namgyun Kim

<p>The forest development has consistently increased that Korea is composed of almost 64% mountain area. The large-scale facilities, like a wind power system foundation, are planned along the top of mountain. As installation of the large-scale facilities, there is a potential risk in the mountain area like landslide, debris flow and so on. Therefore, we has performed some assessments to slopes and streams at mountain areas and roads of a wind power system foundation, which is being a large-scale change topography (1. Risk assessment using GIS analysis and design data, 2. Basic investigation research and detailed investigation research based on a standard from authorities, 3. Vulnerability analysis using a numerical analysis and a quantitative criteria). As a result, we are able to investigate a primary cause for a mountain disaster risk, and establish a planning of disaster mitigation facilities, which are consistent with a local and a geographical characteristic, for the mountain area involved potential risk.</p>


2018 ◽  
Vol 160 ◽  
pp. 03007
Author(s):  
Bo Ruan ◽  
Junjie Qian ◽  
Dahai You ◽  
Tingting Hou ◽  
Xi Chen ◽  
...  

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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