Closed-loop active power control of wind farm based on frequency domain analysis

Chen, Zhenyu; Liu, Jizhen; Lin, Zongli; Duan, Zhenqing

doi:10.1016/j.epsr.2019.01.003

Cited by 15 publications

(13 citation statements)

References 14 publications

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“…where i represents the ith wind turbine, and T i , a i , b i , and c i are tunable parameters used to qualify the model and should be obtained by data-based identification. As introduced in [17], both first-order and second-order processes can be used to model the power-tracking dynamic characteristic. Although the second-order process achieves better fitting accuracy than the first-order process, there are few differences.…”

Section: Modeling the Wind Turbine Power-tracking Characteristicmentioning

confidence: 99%

“…In this paper, the first-order model is applied. The related wind turbine power-tracking performance test and modeling approach are derived from [17]. Furthermore, the first-order power-tracking model in Equation (1) can be rewritten as a state-space model:…”

Section: Modeling the Wind Turbine Power-tracking Characteristicmentioning

confidence: 99%

“…The value of using wind turbines as a local power-tracking and output unit has been gradually recognized in related research. In [17], the author studied the performance of wind turbine power-tracking. In this study, the power set-point for the wind turbine was the input, and the wind turbine active power was the output.…”

Section: Introductionmentioning

confidence: 99%

“…Although the study was useful and meaningful, the author pointed out that the proposed strategy was mainly suitable for a cluster with few units and cannot be used directly for an entire wind farm. The model introduced in [17] focused on the wind turbine power-tracking performance. As a result, of wind turbulence, the generator power always fluctuates around the set-point.…”

Section: Introductionmentioning

confidence: 99%

“…Second, the approximation in steps 4-5 selects the closest wind turbine's power-tracking model as the cluster's model. A detailed introduction and explanation of the applied strategy can be found in [17].…”

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

Kong

et al. 2019

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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.

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Section: Modeling the Wind Turbine Power-tracking Characteristicmentioning

confidence: 99%

Section: Modeling the Wind Turbine Power-tracking Characteristicmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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confidence: 99%

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