Research on wind farm participating in AGC based on wind power variogram characteristics

Qi Wang; Yufeng Guo; Dongrui Zhang; Yingwei Wang; Ying Xu; Jilai Yu; Qi Wang; Yufeng Guo; Dongrui Zhang; Yingwei Wang; Ying Xu; Jilai Yu

doi:10.3934/mbe.2022386

Mathematical Biosciences and Engineering

2022, Volume 19, Issue 8: 8288-8303. doi: 10.3934/mbe.2022386

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Research on wind farm participating in AGC based on wind power variogram characteristics

Harbin institute of technology, 92 Xi Da Zhi Jie, Nangang District, Harbin 150001, China

Academic Editor: Weining Wu

Received: 25 February 2022 Revised: 31 March 2022 Accepted: 02 April 2022 Published: 08 June 2022

The increasing integration of large-scale wind power aggravates the difficulty of maintaining system frequency deviations in a certain range. The frequency regulation pressure of conventional generators increases, which requires wind farms to participate in system frequency regulation. In this paper, a multi-area interconnected power system frequency response model with wind power is established. Based on the frequency response model, the state space model of regional interconnected power system is presented. Then, the wind power variogram characteristics are introduced for estimating wind power variations in different time-scales. By predicting the wind power variations in AGC time-scale, a strategy of wind farm participating in AGC system is proposed and performed based on model predictive control (MPC). The control strategy makes the conventional units and wind farms to participate in AGC system coordinately. Simulation results are provided which verifies the feasibility and validity of the proposed strategy.
- wind power,
- frequency regulation,
- wind power variogram characteristics,
- AGC,
- MPC
Citation: Qi Wang, Yufeng Guo, Dongrui Zhang, Yingwei Wang, Ying Xu, Jilai Yu. Research on wind farm participating in AGC based on wind power variogram characteristics[J]. Mathematical Biosciences and Engineering, 2022, 19(8): 8288-8303. doi: 10.3934/mbe.2022386

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Abstract

The increasing integration of large-scale wind power aggravates the difficulty of maintaining system frequency deviations in a certain range. The frequency regulation pressure of conventional generators increases, which requires wind farms to participate in system frequency regulation. In this paper, a multi-area interconnected power system frequency response model with wind power is established. Based on the frequency response model, the state space model of regional interconnected power system is presented. Then, the wind power variogram characteristics are introduced for estimating wind power variations in different time-scales. By predicting the wind power variations in AGC time-scale, a strategy of wind farm participating in AGC system is proposed and performed based on model predictive control (MPC). The control strategy makes the conventional units and wind farms to participate in AGC system coordinately. Simulation results are provided which verifies the feasibility and validity of the proposed strategy.

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