Multi-Scale Amplitude Modulation Effect of Wind Speed Random Fluctuation

2016 ◽  
Vol 851 ◽  
pp. 396-401
Author(s):  
Jie Wan ◽  
Guo Rui Ren ◽  
Wen Bo Hao ◽  
Jin Fu Liu ◽  
Da Ren Yu ◽  
...  
Keyword(s):  
Wind Speed ◽  
Wind Power ◽  
Amplitude Modulation ◽  
Large Scale ◽  
Engineering Application ◽  
Random Fluctuation ◽  
Modulation Effect ◽  
Wind Power Integration ◽  
Multi Scale ◽  
Scale Characteristics

Wind power is widely used as a type of clean and renewable energy source in recent years. However, large-scale wind power penetration brings lots of challenges due to the uncertainty of wind speed. As a result, the research of wind speed uncertainty plays an important role in large scale wind power integration. In this paper, the multi-scale amplitude modulation effect of wind speed random fluctuation is found based on actual wind speed data. And the physical mechanism of multi-scale characteristics are presented from the perspective of turbulence. This research has both certain physical academic meaning and engineering application value in wind speed uncertainty research.

Uncertainty Estimation Method for Windspeed Random Fluctuation Based on it’s Amplitude Modulation Effect

2014 ◽  
Vol 945-949 ◽  
pp. 2801-2805
Author(s):  
Jie Wan ◽  
Zhi Gang Zhao ◽  
Guo Rui Ren ◽  
Cheng Cheng Qiao ◽  
Cheng Rui Lei ◽  
...  
Keyword(s):  
Amplitude Modulation ◽  
Physical Mechanism ◽  
Estimation Method ◽  
Engineering Application ◽  
Uncertainty Estimation ◽  
Residual Error ◽  
Random Fluctuation ◽  
Modulation Effect ◽  
Electric System ◽  
General Statistical

At present, with the development of wind’s energy application and disaster prevention, the windspeed uncertainty must be estimated because of the existing large gap between the requirement of prediction performance and current techniques owing to it’s strong random fluctuation. In this paper, a new method for windspeed uncertainty estimation is proposed on the base of physical mechanism, the inherent amplitude modulation effect in windspeed. According to the the atmosphere motion power spectrum in low-layers, the actual windspeed is usually decomposed into the hourly average windspeed and the turbulent residual error by many researchers. And the turbulent residual error and the turbulent standard deviation is modulated by the hourly average windspeed. Moreover experiments further show that the confidence interval of windspeed random fluctuation uncertainty based on it’s amplitude modulation effect is more rigorous than that obtained by general statistical model. As a result, this uncertainty estimation method has certain physical academic meaning and engineering application value both in the electric system and the other wind domain.

scholarly journals A Vine-Copula Based Voltage State Assessment with Wind Power Integration

Energies ◽  
2019 ◽  
Vol 12 (10) ◽  
pp. 2019 ◽  
Author(s):  
Xiaolu Chen ◽  
Ji Han ◽  
Tingting Zheng ◽  
Ping Zhang ◽  
Simo Duan ◽  
...  
Keyword(s):  
Wind Speed ◽  
Power System ◽  
Wind Power ◽  
Large Scale ◽  
Assessment Method ◽  
State Assessment ◽  
Distribution Model ◽  
Assessment Procedure ◽  
Wind Power Integration ◽  
Vine Copula

With the increasing rate of wind power installed capacity, voltage state assessment with large-scale wind power integration is of great significance. In this paper, a vine-copula based voltage state assessment method with large-scale wind power integration is proposed. Firstly, the nonparametric kernel density estimation is used to fit the wind speed distribution, and vine-copula is used to construct the wind speed joint distribution model of multiple regions. In order to obtain voltage distribution characteristics, probabilistic load flow based on the semi-invariant method and wind speed independent transformation based on the Rosenblatt transformation are described. On this basis, a voltage state assessment index is established for the more comprehensive evaluation of voltage characteristics, and a voltage state assessment procedure is proposed. Taking actual wind speed as an example, the case study of the IEEE 24-node power system and the east Inner Mongolia power system for voltage state assessment with large-scale wind power integration are studied. The simulation results verify the effectiveness of the proposed voltage state assessment method.

Research on the Peaking Gap of Power System with Large-Scale Wind Power Integration

2014 ◽  
Vol 672-674 ◽  
pp. 367-371
Author(s):  
Xi Wei Jiang ◽  
Wen Ying Liu ◽  
Jing Jing Zheng ◽  
Pei Dong Du ◽  
Jian Bo Wang
Keyword(s):  
Power System ◽  
Wind Power ◽  
Calculation Method ◽  
Large Scale ◽  
Sequential Monte Carlo ◽  
Peak Load ◽  
Simulation Method ◽  
Random Fluctuation ◽  
Continuous Curve ◽  
Wind Power Integration

An important factor affecting the integration of large-scale wind power is whether there is sufficient peaking capacity. If the peaking capacity is insufficient, we cannot make full use of wind power. Therefore it’s of great significance to study the peaking gap of the power system. This paper defined the peak-load regulating demand continuous curve and proposed the calculation method of the peaking gap based on non-sequential Monte Carlo simulation method. Taking wind power’s random fluctuation and the unit forced outage rate into consideration, the calculation method effectively reflect the peaking capacity needs of the system, which is helpful for determining the appropriate wind power integration.

Nash equilibria in electricity pool markets with large-scale wind power integration

Energy ◽  
2021 ◽  
Vol 228 ◽  
pp. 120642
Author(s):  
Evangelos G. Tsimopoulos ◽  
Michael C. Georgiadis
Keyword(s):  
Wind Power ◽  
Large Scale ◽  
Nash Equilibria ◽  
Wind Power Integration

scholarly journals Wind power integration into the automatic generation control of power systems with large-scale wind power

2014 ◽  
Vol 2014 (10) ◽  
pp. 538-545 ◽  
Author(s):  
Abdul Basit ◽  
Anca Daniela Hansen ◽  
Mufit Altin ◽  
Poul Sørensen ◽  
Mette Gamst
Keyword(s):  
Power Systems ◽  
Wind Power ◽  
Large Scale ◽  
Automatic Generation ◽  
Automatic Generation Control ◽  
Wind Power Integration ◽  
Generation Control

The Research of Wasting Wind Power and Methods of its Consumption Based on that of Fuxin

2014 ◽  
Vol 986-987 ◽  
pp. 622-629
Author(s):  
Tian Long Shao ◽  
Jian Zhang ◽  
Xu Nan Zhao
Keyword(s):  
Power System ◽  
Wind Power ◽  
Large Scale ◽  
Clean Energy ◽  
Power Grids ◽  
Grid Structure ◽  
Wind Power Integration

As a kind of renewable clean energy, the constant access of wind power to power grids is bound to have a great impact on the power system. Based on the grid structure in Fuxin, this paper will state the difficulty of peak regulation and the matter of wasting wind power caused by the large-scale wind power integration and put forward some reasonable methods for using the wasting wind power in the heating in winter. The relevant results indicate that capacity of local consumption of wasting wind power can be improved. Under the circumstances, it can be conductive to solve the problem of wasting wind power results from the difficulty of peak regulation as well as inspire the power system planners.

Beneficial role of diurnal smoothing for grid integration of wind power

2021 ◽  
Author(s):  
Anasuya Gangopadhyay ◽  
Ashwin K Seshadri ◽  
Ralf Toumi
Keyword(s):  
Wind Speed ◽  
Wind Power ◽  
Diurnal Cycle ◽  
Power Plants ◽  
Large Scale ◽  
Positive Impact ◽  
Forecast Error ◽  
Wind Generation ◽  
Grid Integration ◽  
Wind Maximum

<p>Smoothing of wind generation variability is important for grid integration of large-scale wind power plants. One approach to achieving smoothing is aggregating wind generation from plants that have uncorrelated or negatively correlated wind speed. It is well known that the wind speed correlation on average decays with increasing distance between plants, but the correlations may not be explained by distance alone. In India, the wind speed diurnal cycle plays a significant role in explaining the hourly correlation of wind speed between location pairs. This creates an opportunity of “diurnal smoothing”. At a given separation distance the hourly wind speeds correlation is reduced for those pairs that have a difference of +/- 12 hours in local time of wind maximum. This effect is more prominent for location pairs separated by 200 km or more and where the amplitude of the diurnal cycle is more than about  0.5 m/s. “Diurnal smoothing” also has a positive impact on the aggregate wind predictability and forecast error. “Diurnal smoothing” could also be important for other regions with diurnal wind speed cycles.</p>

The Study of Energy Storage Technology Application in Wind Power Integration

2013 ◽  
Vol 391 ◽  
pp. 261-264
Author(s):  
Xiao Ning Xu ◽  
Xue Song Zhou
Keyword(s):  
Energy Storage ◽  
Wind Power ◽  
Large Scale ◽  
Low Voltage ◽  
System Stability ◽  
Technology Application ◽  
Wind Power Integration ◽  
Advantages And Disadvantages ◽  
Storage Technology ◽  
Energy Storage Technology

The classification and application range of energy storage technology are briefly introduced. Challenges for large-scale wind power integration are summarized. With regard to the problems in system stability, low voltage ride-through ability of wind the turbine generator, and power quality, the paper elaborated some solutions based on energy storage technology, and analyzed their advantages and disadvantages. With the character of energy storage technology combined, the paper put forward some advice of energy storage technology applying in wind power integration.

The Influence on Reactive Voltage of Large Scale Wind Power Connected to Grid

2013 ◽  
Vol 380-384 ◽  
pp. 2972-2976
Author(s):  
Xiang Yu Lv ◽  
Tian Dong ◽  
Ye Yuan ◽  
De Xin Li ◽  
Xiao Juan Han
Keyword(s):  
Power System ◽  
Wind Power ◽  
Influencing Factors ◽  
Large Scale ◽  
Reactive Power ◽  
Wind Power Integration ◽  
Power Fluctuations ◽  
The Impact

Large scale wind power integration has influenced the safety of power system. Taking wind power integration in Jilin as example, the paper describes the influencing factors of large scale wind power integration on reactive power of the grid in detail firstly, then analyze the reactive voltage in four typical ways, and discuss the impact of the wind power fluctuations on the grid reactive voltage.

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