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Volume 7
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10.3390/pr7080530
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Article

A Wind Farm Active Power Dispatch Strategy Considering the Wind Turbine Power-Tracking Characteristic via Model Predictive Control

by
Wei Li
1,
Dean Kong
2,
Qiang Xu
2,
Xiaoyu Wang
2,
Xiang Zhao
2,
Yongji Li
2,
Hongzhi Han
2,
Wei Wang
3 and
Zhenyu Chen
3,*
1
Xinjiang Xinneng Group CO., LTD Urumqi Electric Power Construction and Commissioning Institute, Urumqi 830011, China
2
State Grid Xinjiang Company Limited Electric Power Research Institute, Urumqi 830011, China
3
School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
*
Author to whom correspondence should be addressed.
Processes 2019, 7(8), 530; https://doi.org/10.3390/pr7080530
Submission received: 26 June 2019 / Revised: 2 August 2019 / Accepted: 7 August 2019 / Published: 12 August 2019
(This article belongs to the Special Issue Energy, Economic and Environment for Industrial Production Processes)
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Abstract

In this paper, an industrial application-oriented wind farm automatic generation control strategy is proposed to stabilize the wind farm power output under power limitation conditions. A wind farm with 20 units that are connected beneath four transmission lines is the selected control object. First, the power-tracking dynamic characteristic of wind turbines is modeled as a first-order inertial model. Based on the wind farm topology, the wind turbines are grouped into four clusters to fully use the clusters’ smoothing effect. A method for frequency-domain aggregation and approximation is used to obtain the clusters’ power-tracking equivalent model. From the reported analysis, a model predictive control strategy is proposed in this paper to optimize the rapidity and stability of the power-tracking performance. In this method, the power set-point for the wind farm is dispatched to the clusters. Then, the active power control is distributed from the cluster to the wind turbines using the conventional proportional distribution strategy. Ultra-short-term wind speed prediction is also included in this paper to assess the real-time performance. The proposed strategy was tested using a simulated wind farm based on an industrial wind farm. Good power-tracking performance was achieved in several scenarios, and the results demonstrate that the performance markedly improved using the proposed strategy compared with the conventional strategy.
Keywords: wind farm; automatic generation control; power-tracking characteristic; frequency-domain analysis; model predictive control wind farm; automatic generation control; power-tracking characteristic; frequency-domain analysis; model predictive control

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MDPI and ACS Style

Li, W.; Kong, D.; Xu, Q.; Wang, X.; Zhao, X.; Li, Y.; Han, H.; Wang, W.; Chen, Z. A Wind Farm Active Power Dispatch Strategy Considering the Wind Turbine Power-Tracking Characteristic via Model Predictive Control. Processes 2019, 7, 530. https://doi.org/10.3390/pr7080530

AMA Style

Li W, Kong D, Xu Q, Wang X, Zhao X, Li Y, Han H, Wang W, Chen Z. A Wind Farm Active Power Dispatch Strategy Considering the Wind Turbine Power-Tracking Characteristic via Model Predictive Control. Processes. 2019; 7(8):530. https://doi.org/10.3390/pr7080530

Chicago/Turabian Style

Li, Wei, Dean Kong, Qiang Xu, Xiaoyu Wang, Xiang Zhao, Yongji Li, Hongzhi Han, Wei Wang, and Zhenyu Chen. 2019. "A Wind Farm Active Power Dispatch Strategy Considering the Wind Turbine Power-Tracking Characteristic via Model Predictive Control" Processes 7, no. 8: 530. https://doi.org/10.3390/pr7080530

APA Style

Li, W., Kong, D., Xu, Q., Wang, X., Zhao, X., Li, Y., Han, H., Wang, W., & Chen, Z. (2019). A Wind Farm Active Power Dispatch Strategy Considering the Wind Turbine Power-Tracking Characteristic via Model Predictive Control. Processes, 7(8), 530. https://doi.org/10.3390/pr7080530

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