The influence research of large-scale wind power on out-of-step oscillation of the Northwest China Power Grid

This paper expounds the influence of decentralized wind power on the characteristics of distribution network. Through analysis, it can be concluded that after installing an appropriate amount of decentralized wind power, the voltage level of load bus can be improved. The power flow distribution will be changed, and the network loss of the power grid will be reduced. The decentralized wind power has also brought about negative impacts, such as voltage flicker and harmonics, the impact on the scope and direction of protection of relay protection, and greater uncertainty in the planning and operation of regional power grid. The analysis above provides some theoretical guidance for the large-scale development of decentralized wind power in the future.

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Study on the Influence of Large-Scale Wind Power Connecting to Power Grid on Voltage Quality Control

Journal of Physics Conference Series ◽

10.1088/1742-6596/1345/5/052045 ◽

2019 ◽

Vol 1345 ◽

pp. 052045

Author(s):

Shilong Zhang ◽

Wei Zhang ◽

Qingchao Liu ◽

Chengzhi Lu

Keyword(s):

Quality Control ◽

Wind Power ◽

Large Scale ◽

Power Grid ◽

Voltage Quality

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Analysis of Output Characteristics of Typical Distributed Wind Power

E3S Web of Conferences ◽

10.1051/e3sconf/20197903017 ◽

2019 ◽

Vol 79 ◽

pp. 03017

Author(s):

Mingyu Dong ◽

Dezhi Li ◽

Fenkai Chen ◽

Meiyan Wang ◽

Rongjun Chen ◽

...

Keyword(s):

Wind Power ◽

Power Output ◽

Power Distribution ◽

Large Scale ◽

Power Grid ◽

Stable Operation ◽

Smart Power ◽

Power Exchange ◽

The Future ◽

Output Characteristics

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.

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Short-Term Forecast and Error Analysis of Wind Power Based on Weight Factors

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.1008-1009.137 ◽

2014 ◽

Vol 1008-1009 ◽

pp. 137-143

Author(s):

Ying Jie Qin ◽

Shan Song ◽

Bin Shi ◽

Zhen Jian Xie ◽

Li Wei Qiao

Keyword(s):

Wind Power ◽

Wind Velocity ◽

Large Scale ◽

Power Grid ◽

Real Data ◽

Power Prediction ◽

Short Term ◽

Short Term Forecast ◽

Term Forecast ◽

Weight Factors

For power grid with large-scale wind energy, the short-term wind power prediction is important to the grid’s scheduling and stable operating. The overall short-term forecast for wind power connected to the grid relies on the wind velocity and historical power data. Firstly, K-means clustering is introduced to model the power grid, so that the relationship between wind velocity and power can be perfectly described. Considering that there are multiple factors contributing to the prediction of wind velocity and power, we use real data of 15 wind generating set to obtain dependable weight factors of all those dimensions. With the support of mass data, the prediction of power is proved by several measurements (ME, MRE, MAE, RMSE) to be accurate.

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