Wind Power Primary Frequency Regulation Simulation Based on Wind Speed Prediction Model

doi:10.16182/j.issn1004731x.joss.21-1263

Abstract

Abstract:

To furtherly improve the accuracy of wind speed prediction, considering the coupled comprehensive features of data internal structure external influencing factors, and the characteristics of wind turbines power, a BP-ARIMA combined prediction model is constructed and the wind speed of wind farms is simulated. Compared with the actual data, the high prediction accuracy of the model is verified. Bases on the curve of typical power characteristic of wind turbine, the optimal configuration of energy storage device capacity and the stability of wind turbine are considered, and the MATLAB-SIMULINK platform is applied to simulate the primary frequency regulation of wind turbine, and the results show that the frequency regulation capability of the primary frequency modulation control strategy, compared with the conventional over-speed and load-shedding frequency control strategy, can be improved by at least ten percentage.

Key words: wind speed prediction, model, primary frequency regulation, energy storage device, simulation analysis

CLC Number:

TP391

Zhenyu Zhao, Xu Ma, Geriletu Bao. Wind Power Primary Frequency Regulation Simulation Based on Wind Speed Prediction Model[J]. Journal of System Simulation, 2022, 34(10): 2233-2243.

Figures/Tables 17

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小时序号	风速/(m/s)	气压/kPa	温度/℃	相对湿度/%
1	6.55	89.08	-10.3	45
2	6.5	89.07	-8.4	40
3	6.6	89.04	-6.4	34
4	5.55	89.00	-5.2	33
5	5.6	88.92	-4.3	30
6	5.2	88.84	-4	30
7	5.7	88.82	-2.8	28
8	5.4	88.81	-6.1	40
9	5.4	88.88	-7.8	45
10	5	88.82	-9.1	56
…
285	5.29	89.92	-10	70
286	5.51	89.93	-11	71
287	6.1	89.86	-11	76
288	5.9	89.81	-12	78

预测精度指标	MAPE/%	MAE/(m/s)	RMSE/(m/s)
ARIMA	11.78	0.62	0.94
BP-ARIMA	6.22	0.32	0.42

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