Reliability analysis of wind power output capacity in a regional power grid

Author(s):  
Weiguo Yan ◽  
Lingxu Guo ◽  
Jian Chen ◽  
Zhongchen Yuan ◽  
Xiaoxiao Huang ◽  
...  
2013 ◽  
Vol 694-697 ◽  
pp. 846-849
Author(s):  
Jian Yuan Xu ◽  
Wei Fu Qi ◽  
Yun Teng

This paper mainly studies wind power fluctuations how to affect voltage stability after the wind power grid integration, and reactive power compensation equipment on improving effect. In certain parts of the wind farm, for example, firstly, analyzing the wind farm reactive power problems. Then introduce the reactive power compensation equipment that used in the wind farm. Finally, with PSCAD software, making a simulation analysis about the influence on the power grid voltage according to adopting the different reactive power compensation devices or not.


Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 5214
Author(s):  
Yongqian Liu ◽  
Yanhui Qiao ◽  
Shuang Han ◽  
Yanping Xu ◽  
Tianxiang Geng ◽  
...  

The quantitative evaluation of cluster wind power output volatility and source-load timing matching is vital to the planning and operation of the future power system dominated by new energy. However, the existing volatility evaluation methods of cluster wind power output do not fully consider timing volatility, or are not suitable for small sample data scenarios. Meanwhile, the existing source-load timing matching evaluation indicator ignores the impact of wind power permeability on the timing matching degree between wind power output and load. Therefore, the authors propose quantitative evaluation methods of cluster wind power output volatility and source-load timing matching in regional power grid. Firstly, the volatility-based smoothing coefficient is defined to quantitatively evaluate the smoothing effect of wind-farm cluster power output. Then, the source-load timing matching coefficient considering wind power permeability is proposed to quantitatively evaluate the timing matching degree of regional wind power output and load, and the corresponding function model of volatility-based smoothing coefficient and source-load timing matching coefficient is established. Finally, the validity and applicability of the proposed methods are verified by MATLAB software based on the actual power output of 10 wind farms and actual grid load in a certain grid dispatching cross-section of northeast China. The results demonstrated that the proposed volatility-based smoothing coefficient can accurately represent the smoothing effect of wind farm cluster power output while maintaining the volatility continuity of wind power output time series and without affect from the data sample size. The source-load timing matching coefficient can accurately characterize the difference in the timing matching degree between wind power output and grid load under different wind power permeability and the influence degree on grid load.


2019 ◽  
Vol 79 ◽  
pp. 03017
Author(s):  
Mingyu Dong ◽  
Dezhi Li ◽  
Fenkai Chen ◽  
Meiyan Wang ◽  
Rongjun Chen ◽  
...  

With the development of smart power distribution technology in the future, a large range of power supply load (such as distributed wind power generation) will appear on the power receiving end. When distributed wind power is connected to the power grid on a large scale, it will have a certain impact on the safe and stable operation of the power grid. However, if the wind power output characteristics can be analyzed and the wind power output is properly regulated, the one-way flow of power from the distribution network to the user side will be broken, so that the future "network-load" has dual interaction characteristics based on response and substantial power exchange.


2019 ◽  
Vol 2019 ◽  
pp. 1-14
Author(s):  
Xiyun Yang ◽  
Le Zhang ◽  
Tianze Ye ◽  
Yuwei Yang ◽  
Yiwei Wang ◽  
...  

In-situ exploitation of oil shale by electric heating consumes large amounts of electricity. Under the existing dispatch system, using wind power output and photovoltaic power output to support the exploitation of oil shale can promote renewable energy use, reduce the consumption of coal and other fossil fuels, and protect the environment from pollution. In this study, the characteristics of the wind power and photovoltaic power output are analyzed, and the correlation between the power outputs is evaluated using the copula function. The load of exploiting oil shale is presented. In order to match the heating load characteristics of oil shale exploitation, a particle swarm optimization algorithm is used to optimize the heating temperature of the heated well to minimize the cost. An economic analysis is conducted of five different power supply combinations, including wind power, photovoltaic power, and the existing power grid. The income ratio of the five modes is calculated using actual data of a project in Jilin province in China, and the feasibility of in-situ electric heating by wind power, photovoltaic power, and the power grid is determined. The results of this study provide useful references for decision makers to plan the power supply scheme for in-situ oil shale exploitation.


2018 ◽  
Vol 13 (8) ◽  
pp. 1110-1118
Author(s):  
Simin Yu ◽  
Buying Wen ◽  
Liangyuan Wang ◽  
Jing Chen
Keyword(s):  

2014 ◽  
Vol 953-954 ◽  
pp. 486-492
Author(s):  
Jie Ren ◽  
De Zhi Chen ◽  
Feng Gao ◽  
He Nan Wang ◽  
Jian She Tian ◽  
...  

As wind power in China is developing more and more rapidly, the characteristics of wind power output such as randomness and volatility have brought great pressure to the system peak load regulation. On the basis of defining negative peak regulation ability, this paper gives out the calculation formula of negative peak regulation ability including wind power and the main factors of influencing the negative peak regulation ability are calculated. Aimed at the regional power grid in the target year 2014, this paper makes some analytical prediction on such main factors and calculates the negative peak regulation ability, and the amount of the acceptance of wind power bound by it, and makes some sensitivity analysis of the negative peak regulation ability and the amount of the acceptance of wind power.


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