Anticipatory AGC control strategy based on wind power variogram characteristic

Yufeng Guo; Qi Wang; Dongrui Zhang; Jie Wan; Daren Yu; Jilai Yu

Anticipatory AGC control strategy based on wind power variogram characteristic

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Author(s): Yufeng Guo¹ ; Qi Wang¹ ; Dongrui Zhang¹ ; Jie Wan^{2, 3} ; Daren Yu⁴ ; Jilai Yu^{1, 3}
- Affiliations: 1: School of Electrical Engineering and Automation , Harbin Institute of Technology , No.92, Xidazhi Street, Nangang District, Harbin City , People's Republic of China ;
  2: Fundamental Space Science Research Center , Harbin Institute of Technology , Harbin 150001, Heilongjiang , People's Republic of China ;
  3: Postdoctoral Research Station of Electrical Engineering , Harbin Institute of Technology , Harbin 150001, Heilongjiang , People's Republic of China ;
  4: School of Energy Science and Engineering , Harbin Institute of Technology , No.92, Xidazhi Street, Nangang District, Harbin City , People's Republic of China
Source: Volume 14, Issue 7, 18 May 2020, p. 1124 – 1133
DOI: 10.1049/iet-rpg.2019.0723 , Print ISSN 1752-1416, Online ISSN 1752-1424

Received 11/06/2019, Accepted 23/01/2020, Revised 11/09/2019, Published 28/01/2020

Increasing penetration of wind power has a negative effect on system frequency deviation due to the fast variability and uncertainty characteristics of wind. In this study, a wind power variation prediction-based automatic generation control (AGC) feedforward control method is applied within the conventional AGC framework to minimise system frequency and tie-line deviations. Firstly, the variogram function is introduced for analysing the characteristics of wind power variations. A relationship between the variogram of wind power and the trend component of wind power is found and then a three-parameter power-law model is established. Then, the generation rate constrains of AGC generators is considered as the main constraint factor that influences wind power smoothing. By predicting the wind power variations in AGC control time-scale, a coordination AGC feedforward control strategy is proposed. The control strategy makes different types of AGC generators act in advance to improve the ability of the power system, corresponding to the forecasted ramp variations in wind power generation. Finally, the performance of the proposed coordination control strategy is verified and tested using the actual data from China. Simulation results show that with this new strategy, frequency deviation under wind power variations can be effectively decreased.

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